Stanford Center for Digital Health

Publications

15 Publications by CDH Pilot and Impact Grant Awardees

  1. 2024 Diabetes Technology Meeting Abstracts. J Diabetes Sci Technol. 2025;19(2):497-575. doi:10.1177/19322968251314275
  2. Somani S, Kim D, Perez E, Ngo S, Hernandez-Boussard T, Rodriguez F. Abstract 4144857: Large Language Models to Understand Reasons for Anticoagulation Nonprescription in Atrial Fibrillation. Circulation. 2024;150(Suppl_1):A4144857-A4144857. doi:10.1161/circ.150.suppl_1.4144857
  3. Kim DS, Eltahir AA, Ngo S, Rodriguez F. Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine. Curr Atheroscler Rep. 2024;27(1):9. doi:10.1007/s11883-024-01249-9
  4. Shah SJ, Nair A, Murtagh K, et al. Clinician Perspectives on AI-Generated Drafts of Patient Test Result Explanations. JAMA Netw Open. 2025;8(8):e2528794. doi:10.1001/jamanetworkopen.2025.28794
  5. Khowaja AH, Janjua K, Afridi R, et al. Correlation of functional and anatomical improvement following treatment for Diabetic Macular Edema: a post-hoc analysis. Invest Ophthalmol Vis Sci. 2024;65(7):6244.
  6. Huynh M, Kline A, Surabhi S, et al. Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder. arXiv. Preprint posted online August 23, 2024. doi:10.48550/arXiv.2408.13255
  7. Adenekan RAG, Delp S, Okamura A, Nunez CM. Feasibility of Using Smartphone Vibrations for Clinical Sensory Monitoring. Stanford University; 2024.
  8. Mantena S, Johnson A, Oppezzo M, et al. Fine-tuning Large Language Models in Behavioral Psychology for Scalable Physical Activity Coaching. medRxiv. Published online February 21, 2025:2025.02.19.25322559. doi:10.1101/2025.02.19.25322559
  9. Kim DS, Webster E, Rodriguez F, Linos E. High-flying precision medicine: Leveraging wearable technology for in-flight emergencies. PLOS Digit Health. 2025;4(4):e0000834. doi:10.1371/journal.pdig.0000834
  10. Blankemeier L, Cohen JP, Kumar A, et al. Merlin: A Vision Language Foundation Model for 3D Computed Tomography. Res Sq. Published online June 28, 2024:rs.3.rs-4546309. doi:10.21203/rs.3.rs-4546309/v1
  11. Honarmand M, Mutlu OC, Azizian P, Surabhi S, Wall DP. Selective Test-Time Domain Adaptation Using Fisher Information for Robust Facial Expression Recognition In-the-Wild. In: IEEE Computer Society; 2025:5800-5810. doi:10.1109/CVPRW67362.2025.00579
  12. Adenekan RAG, Adenekan AE, Leung KK, et al. Smartphone-based App to Assess Diabetic Peripheral Neuropathy. medRxiv. Preprint posted online September 2, 2025:2025.08.28.25333808. doi:10.1101/2025.08.28.25333808
  13. Somani S, Kim DD, Perez-Guerrero E, et al. Understanding Reasons for Oral Anticoagulation Nonprescription in Atrial Fibrillation Using Large Language Models. J Am Heart Assoc. 2025;14(7):e040419. doi:10.1161/JAHA.124.040419
  14. Kim DS, Schuetz N, Johnson A, et al. Unlocking insights: Clinical associations from the largest 6-minute walk test collection via the my Heart Counts Cardiovascular Health Study, a fully digital smartphone platform. Prog Cardiovasc Dis. 2025;89:45-52. doi:10.1016/j.pcad.2025.01.010
  15. Khan A, Janjua K, Shaik MAS, Neto A, Shakeel G, Sepah YJ. VisionGuard: A Scalable Mobile Solution for Accurate Best Corrected Visual Acuity Testing. Invest Ophthalmol Vis Sci. 2025;66(8):5792.

37 Publications by CDH Scholars (Dan Seung Kim, Jiyeong Kim, Tugce Akcan, Michael Chen, James Dickerson)

  1. Kim DS, Rodriguez F, Ashley EA. AI and Digital Health: Personalizing Physical Activity to Improve Population Health. Circ Cardiovasc Qual Outcomes. 2025;18(9):e012416. doi:10.1161/CIRCOUTCOMES.125.012416
  2. Chen ML, Kim J, Naik HB, et al. Analysing common topics of secure patient messages in hidradenitis suppurativa: a text-embedding and natural language-processing approach. Br J Dermatol. 2024;191(4):633-635. doi:10.1093/bjd/ljae222
  3. Kim J, Pacheco JPG, Golden A, et al. Artificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review. Curr Treat Options Psychiatry. 2025;12(1):23. doi:10.1007/s40501-025-00359-8
  4. Kim J, Chen ML, Rezaei SJ, et al. Artificial intelligence tools in supporting healthcare professionals for tailored patient care. npj Digit Med. 2025;8(1):210. doi:10.1038/s41746-025-01604-3
  5. Kim J, Cai ZR, Chen ML, Simard JF, Linos E. Assessing Biases in Medical Decisions via Clinician and AI Chatbot Responses to Patient Vignettes. JAMA Netw Open. 2023;6(10):e2338050. doi:10.1001/jamanetworkopen.2023.38050
  6. Cai ZR, Kim J, Rezaei SJ, et al. Assessing the Performance of Artificial Intelligence Models in Evaluating Inflammatory Skin Disease Severity: A Systematic Review and Meta-Analysis. Br J Dermatol. Published online June 26, 2025:ljaf250. doi:10.1093/bjd/ljaf250
  7. Cai ZR, Chen ML, Kim J, et al. Assessment of Correctness, Content Omission, and Risk of Harm in Large Language Model Responses to Dermatology Continuing Medical Education Questions. J Invest Dermatol. 2024;144(8):1877-1879. doi:10.1016/j.jid.2024.01.015
  8. Akcan T, Lee MY, Needleman L, Lal RA. Automated Insulin Delivery for Type 1 Diabetes: Present and Future. Diabetes Spectr. 2025;38(3):217-227. doi:10.2337/dsi25-0003
  9. Kim DS, Eltahir AA, Ngo S, Rodriguez F. Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine. Curr Atheroscler Rep. 2024;27(1):9. doi:10.1007/s11883-024-01249-9
  10. Kim J, Fairman NP, Dove MS, Hoch JS, Keegan TH. Cancer survivors with sub-optimal patient-centered communication before and during the early COVID-19 pandemic. Patient Educ Couns. 2023;115:107876. doi:10.1016/j.pec.2023.107876
  11. Rezaei SJ, Chen ML, Kim J, John EM, Sunwoo JB, Linos E. Development of Melanoma and Other Nonkeratinocyte Skin Cancers After Thyroid Cancer Radiation. JAMA Netw Open. 2024;7(9):e2434841. doi:10.1001/jamanetworkopen.2024.34841
  12. Kim J, Linos E, Fishman DA, Dove MS, Hoch JS, Keegan TH. Factors Associated With Online Patient-Provider Communications Among Cancer Survivors in the United States During COVID-19: Cross-sectional Study. JMIR Cancer. 2023;9(1):e44339. doi:10.2196/44339
  13. Mantena S, Johnson A, Oppezzo M, et al. Fine-tuning LLMs in behavioral psychology for scalable health coaching. npj Cardiovasc Health. 2025;2(1):48. doi:10.1038/s44325-025-00083-5
  14. Akcan T, Kraemer FB. HDL meets triglyceride. J Lipid Res. 2025;66(5):100796. doi:10.1016/j.jlr.2025.100796
  15. Kim DS, Webster E, Rodriguez F, Linos E. High-flying precision medicine: Leveraging wearable technology for in-flight emergencies. PLOS Digital Health. 2025;4(4):e0000834. doi:10.1371/journal.pdig.0000834
  16. Krakowski I, Kim J, Cai ZR, et al. Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis. npj Digit Med. 2024;7(1):78. doi:10.1038/s41746-024-01031-w
  17. Kim J, Linos E, Dove MS, Hoch JS, Keegan TH. Impact of COVID-19, cancer survivorship and patient-provider communication on mental health in the US Difference-In-Difference. npj Mental Health Res. 2023;2(1):14. doi:10.1038/s44184-023-00034-x
  18. Chen ML, Rezaei SJ, Kim J, et al. Incidence of suicide among melanoma and nonkeratinocyte skin cancer patients in the United States, 2000-2020. Journal of the American Academy of Dermatology. 2024;91(4):715-717. doi:10.1016/j.jaad.2024.05.028
  19. Kim J, Leonte KG, Chen ML, et al. Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder. npj Digit Med. 2024;7(1):193. doi:10.1038/s41746-024-01181-x
  20. Kim J, Linos E. Limitations in Artificial Intelligence–Driven Patient-Centered Cancer Nursing Research—Reply. JAMA Oncol. Published online September 25, 2025. doi:10.1001/jamaoncol.2025.3488
  21. Kim J, Cai ZR, Chen ML, et al. Mental health care needs of caregivers of people with Alzheimer’s disease from online forum analysis. Npj Ment Health Res. 2024;3(1):54. doi:10.1038/s44184-024-00100-y
  22. Rezaei SJ, Chen ML, Kim J, Linos E. Mental Health, Sleep and General Health Among Individuals With Dermatologic Conditions: A US Population-Based Study Using the National Health and Nutrition Examination Survey (NHANES). Exp Dermatol. 2024;33(10):e15195. doi:10.1111/exd.15195
  23. Kim DS, Wiel L, Ashley EA. Mind the Gap: The Complete Human Genome Unlocks Benefits for Clinical Genomics. Clin Chem. 2023;69(1):6-8. doi:10.1093/clinchem/hvac133
  24. Kim DS, Chu EL, Keamy-Minor EE, et al. One-year real-world experience with mavacamten and its physiologic effects on obstructive hypertrophic cardiomyopathy. Front Cardiovasc Med. 2024;11:1429230. doi:10.3389/fcvm.2024.1429230
  25. Kim J, Chen ML, Rezaei SJ, et al. Patient-Centered Research Through Artificial Intelligence to Identify Priorities in Cancer Care. JAMA Oncol. 2025;11(6):630-635. doi:10.1001/jamaoncol.2025.0694
  26. Javed A, Kim DS, Hershman SG, et al. Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study. Eur Heart J Digit Health. 2023;4(5):411-419. doi:10.1093/ehjdh/ztad047
  27. Kim J, Chen ML, Rezaei SJ, et al. Perspectives on Artificial Intelligence–Generated Responses to Patient Messages. JAMA Netw Open. 2024;7(10):e2438535. doi:10.1001/jamanetworkopen.2024.38535
  28. Kim J, Linos E, Rodriguez CI, Chen ML, Dove MS, Keegan TH. Prevalence and associations of poor mental health in the third year of COVID-19: U.S. population-based analysis from 2020 to 2022. Psychiatry Research. 2023;330:115622. doi:10.1016/j.psychres.2023.115622
  29. Santana EJ, Kim DS, Christle JW, et al. Reference equations for peak oxygen uptake for treadmill cardiopulmonary exercise tests based on the NHANES lean body mass equations, a FRIEND registry study. Eur J Prev Cardiol. Published online February 7, 2025:zwaf045. doi:10.1093/eurjpc/zwaf045
  30. Akcan T, Needleman L, Basina M. Safe and Effective Use of U-200 Insulin With Automated Insulin Delivery Systems. Clin Diabetes. 2025;43(3):449-452. doi:10.2337/cd24-0110
  31. Rezaei SJ, Kim J, Onyeka S, et al. Skin Cancer and Other Dermatologic Conditions Among US Veterans. JAMA Dermatol. 2024;160(10):1107-1111. doi:10.1001/jamadermatol.2024.3043
  32. Schütz N, Doijad R, Eltahir AA, Sarraju A, Rodriguez F, Kim DS. Speaking the Language of Inclusion: Examining English Language Requirements in Cardiovascular Digital Health Trials. JACC Adv. 2025;4(10 Pt 2):102123. doi:10.1016/j.jacadv.2025.102123
  33. Chen ML, Gomez SL, O’Hara R, et al. Surgery and Suicide Deaths Among Patients With Cancer. JAMA Netw Open. 2024;7(9):e2431414. doi:10.1001/jamanetworkopen.2024.31414
  34. Kim J, Cai ZR, Chen ML, Onyeka S, Ko JM, Linos E. Telehealth Utilization and Associations in the United States During the Third Year of the COVID-19 Pandemic: Population-Based Survey Study in 2022. JMIR Public Health Surveill. 2024;10(1):e51279. doi:10.2196/51279
  35. Somani S, Kim DD, Perez‐Guerrero E, et al. Understanding Reasons for Oral Anticoagulation Nonprescription in Atrial Fibrillation Using Large Language Models. Journal of the American Heart Association. 2025;14(7):e040419. doi:10.1161/JAHA.124.040419
  36. Kim DS, Schuetz N, Johnson A, et al. Unlocking insights: Clinical associations from the largest 6-minute walk test collection via the my Heart Counts Cardiovascular Health Study, a fully digital smartphone platform. Progress in Cardiovascular Diseases. 2025;89:45-52. doi:10.1016/j.pcad.2025.01.010
  37. Dickerson JC, Shaw M, Dalal N, McClure M, Smith N, Caswell-Jin JL. Abstracting Lines of Therapy in Breast Cancer using Large Language Models. San Antonio Breast Cancer Symposium. San Antonio, TX, December 10-14, 2025.

 

169 Publications by CDH Leadership (Fatima Rodriguez, Maya Adam, Eleni Linos)

  1. Virani SS, Newby LK, Arnold SV, et al. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation. 2023;148(9):e9-e119. doi:10.1161/CIR.0000000000001168
  2. Lossio-Ventura JA, Weger R, Lee AY, et al. A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data. JMIR Mental Health. 2024;11(1):e50150. doi:10.2196/50150
  3. de Vere Hunt IJ, Jin KX, Linos E. A framework for considering the use of generative AI for health. npj Digit Med. 2025;8(1):297. doi:10.1038/s41746-025-01695-y
  4. Klapow M, Seeff M, Adam M, et al. A short, animated storytelling video to reduce addiction stigma: A pilot randomized controlled trial. Addict Behav Rep. 2025;22:100622. doi:10.1016/j.abrep.2025.100622
  5. Hunt I de V, Cai ZR, Nava V, et al. A Social Media–Based Public Health Campaign to Reduce Indoor Tanning in High-Risk Populations. AJPM Focus. 2023;2(3). doi:10.1016/j.focus.2023.100123
  6. Narayan SM, Chung MK, Adedinsewo D, et al. Access to digital health technologies: personalized framework and global perspectives. Nat Rev Cardiol. Published online July 16, 2025:1-14. doi:10.1038/s41569-025-01184-5
  7. Albert MA, Churchwell K, Desai N, et al. Addressing Structural Racism Through Public Policy Advocacy: A Policy Statement From the American Heart Association. Circulation. 2024;149(6):e312-e329. doi:10.1161/CIR.0000000000001203
  8. Byiringiro S, Garcia JK, Farrell N, et al. Advocating for collaboration among key partners to promote diversity in clinical studies amid policy challenges in the United States of America. Trials. 2025;26(1):117. doi:10.1186/s13063-025-08820-y
  9. Kim DS, Rodriguez F, Ashley EA. AI and Digital Health: Personalizing Physical Activity to Improve Population Health. Circ Cardiovasc Qual Outcomes. 2025;18(9):e012416. doi:10.1161/CIRCOUTCOMES.125.012416
  10. Feuchtner GM, Lacaita PG, Bax JJ, et al. AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry. Circulation: Cardiovascular Imaging. 2025;18(6):e018235. doi:10.1161/CIRCIMAGING.125.018235
  11. Chandra AA, Espiche C, Maliha M, et al. American society for preventive cardiology 2024 cardiovascular disease prevention: Highlights and key sessions. American Journal of Preventive Cardiology. 2025;21:100919. doi:10.1016/j.ajpc.2024.100919
  12. Koren MJ, Rodriguez F, East C, et al. An “Inclisiran First” Strategy vs Usual Care in Patients With Atherosclerotic Cardiovascular Disease. J Am Coll Cardiol. 2024;83(20):1939-1952. doi:10.1016/j.jacc.2024.03.382
  13. Liu S, Wegner L, Haucke M, Gates J, Adam M, Bärnighausen T. An Entertainment-Education Video and Written Messages to Alleviate Loneliness in Germany: Pilot Randomized Controlled Study. JMIR Form Res. 2023;7:e43036. doi:10.2196/43036
  14. Chen ML, Kim J, Naik HB, et al. Analysing common topics of secure patient messages in hidradenitis suppurativa: a text-embedding and natural language-processing approach. Br J Dermatol. 2024;191(4):633-635. doi:10.1093/bjd/ljae222
  15. Sarraju A, Bruemmer D, Van Iterson E, Cho L, Rodriguez F, Laffin L. Appropriateness of Cardiovascular Disease Prevention Recommendations Obtained From a Popular Online Chat-Based Artificial Intelligence Model. JAMA. 2023;329(10):842-844. doi:10.1001/jama.2023.1044
  16. Parsa S, Somani S, Dudum R, Jain SS, Rodriguez F. Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time? Curr Atheroscler Rep. 2024;26(7):263-272. doi:10.1007/s11883-024-01210-w
  17. Dossabhoy SS, Ho VT, Ross EG, Rodriguez F, Arya S. Artificial intelligence in clinical workflow processes in vascular surgery and beyond. Semin Vasc Surg. 2023;36(3):401-412. doi:10.1053/j.semvascsurg.2023.07.002
  18. Parsa S, Shah P, Doijad R, Rodriguez F. Artificial Intelligence in Ischemic Heart Disease Prevention. Curr Cardiol Rep. 2025;27(1):44. doi:10.1007/s11886-025-02203-0
  19. Kim J, Pacheco JPG, Golden A, et al. Artificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review. Curr Treat Options Psychiatry. 2025;12(1):23. doi:10.1007/s40501-025-00359-8
  20. Kim J, Chen ML, Rezaei SJ, et al. Artificial intelligence tools in supporting healthcare professionals for tailored patient care. npj Digit Med. 2025;8(1):210. doi:10.1038/s41746-025-01604-3
  21. Somani S, van Buchem MM, Sarraju A, Hernandez-Boussard T, Rodriguez F. Artificial Intelligence-Enabled Analysis of Statin-Related Topics and Sentiments on Social Media. JAMA Netw Open. 2023;6(4):e239747. doi:10.1001/jamanetworkopen.2023.9747
  22. Kim J, Cai ZR, Chen ML, Simard JF, Linos E. Assessing Biases in Medical Decisions via Clinician and AI Chatbot Responses to Patient Vignettes. JAMA Netw Open. 2023;6(10):e2338050. doi:10.1001/jamanetworkopen.2023.38050
  23. Cai ZR, Kim J, Rezaei SJ, et al. Assessing the Performance of Artificial Intelligence Models in Evaluating Inflammatory Skin Disease Severity: A Systematic Review and Meta-Analysis. Br J Dermatol. Published online June 26, 2025:ljaf250. doi:10.1093/bjd/ljaf250
  24. Cai ZR, Chen ML, Kim J, et al. Assessment of Correctness, Content Omission, and Risk of Harm in Large Language Model Responses to Dermatology Continuing Medical Education Questions. J Invest Dermatol. 2024;144(8):1877-1879. doi:10.1016/j.jid.2024.01.015
  25. Martinez KA, Montori VM, Rodriguez F, et al. Association between Exposure to Statin Choice and Adherence to Statins: An Observational Cohort Study. Med Decis Making. 2025;45(7):884-891. doi:10.1177/0272989X251346508
  26. Trinh P, Allerup JAC, Li S, et al. Association between yearlong air pollution and moderate-severe atopic dermatitis: A United States cross-sectional claims analysis. JAAD International. 2023;13:4-6. doi:10.1016/j.jdin.2023.04.017
  27. Peng AW, Dudum R, Jain SS, et al. Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes. J Am Coll Cardiol. 2023;82(12):1192-1202. doi:10.1016/j.jacc.2023.06.040
  28. Mittal V, So JY, Li S, et al. Associations Between Dietary and Supplemental Vitamin a Intake and Melanoma and Non-Melanoma Skin Cancer. Skin Health and Disease. 2024;4(6):ski2.462. doi:10.1002/ski2.462
  29. Nurmohamed NS, van Rosendael AR, Danad I, et al. Atherosclerosis evaluation and cardiovascular risk estimation using coronary computed tomography angiography. Eur Heart J. 2024;45(20):1783-1800. doi:10.1093/eurheartj/ehae190
  30. Adam M, Nguyễn VK. Authors’ Reply: Concerns About the Generalizability Associated With a South African Randomized Controlled Trial on Prenatal Mothers. J Med Internet Res. 2024;26:e55930. doi:10.2196/55930
  31. Rodriguez F, Dudum R. Beyond Primary Prevention: The Intersection of Severe Coronary Calcium, Left Main Coronary Calcium, and Diabetes. JACC Cardiovasc Imaging. 2024;17(7):777-779. doi:10.1016/j.jcmg.2024.01.013
  32. Kim DS, Eltahir AA, Ngo S, Rodriguez F. Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine. Curr Atheroscler Rep. 2024;27(1):9. doi:10.1007/s11883-024-01249-9
  33. Haeffele C, Rodriguez F. Call to Action: Reducing Disparities in Valvular Heart Disease. Journal of the American Heart Association. 2025;14(2):e039349. doi:10.1161/JAHA.124.039349
  34. Quesada O, Crousillat D, Rodriguez F, et al. Cardiovascular Disease in Hispanic Women: JACC Review Topic of the Week. J Am Coll Cardiol. 2024;83(17):1702-1712. doi:10.1016/j.jacc.2024.02.039
  35. Sarraju A, Rodriguez F, Laffin L. Cardiovascular Disease Prevention Recommendations From an Online Chat-Based AI Model-Reply. JAMA. 2023;330(1):83. doi:10.1001/jama.2023.8181
  36. Rodriguez F, Blumer V. Cardiovascular Health in Hispanic/Latino Patients: From Research to Practice. J Am Coll Cardiol. 2023;81(15):1521-1523. doi:10.1016/j.jacc.2023.02.025
  37. Serpa F, Perera S, Cruz DE, et al. Cardiovascular health, lifestyle factors, and social determinants among Hispanic or Latino adults in the United States. American Heart Journal. 2025;285:133-144. doi:10.1016/j.ahj.2025.03.002
  38. Regan JA, Franklin J, Kottilil K, et al. CARS2 Hypermethylation Is a Risk Factor for Stage B Heart Failure and Hospitalizations in the Project Baseline Health Study. medRxiv. Preprint posted online May 3, 2025:2024.12.20.24319449. doi:10.1101/2024.12.20.24319449
  39. Kalwani NM, Osmanlliu E, Parameswaran V, et al. Changes in telemedicine use and ambulatory visit volumes at a multispecialty cardiovascular center during the COVID-19 pandemic. J Telemed Telecare. 2024;30(3):543-548. doi:10.1177/1357633X211073428
  40. Rodriguez F, Cho L, Foody J, et al. Characteristics and Outcomes for Hispanic/Latinx Participants With Statin Intolerance Receiving Bempedoic Acid. J Am Coll Cardiol. 2024;83(21):2130-2132. doi:10.1016/j.jacc.2024.03.390
  41. Kercheval JB, Narcisse DI, Nguyen M, et al. Characterization of peripheral artery disease and associations with traditional risk factors, mobility, and biomarkers in the project baseline health study. Am Heart J. 2024;275:183-190. doi:10.1016/j.ahj.2024.06.010
  42. Shemesh E, Chevli PA, Islam T, et al. Circulating ketone bodies and cardiovascular outcomes: the MESA study. Eur Heart J. 2023;44(18):1636-1646. doi:10.1093/eurheartj/ehad087
  43. Broadwin C, Azizi Z, Rodriguez F. Clinical Trial Technologies for Improving Equity and Inclusion in Cardiovascular Clinical Research. Cardiol Ther. 2023;12(2):215-225. doi:10.1007/s40119-023-00311-y
  44. Martinez KA, Montori VM, Rodriguez F, et al. Clinician use of the Statin Choice Shared Decision-making Encounter Tool in a Major Health System. J Gen Intern Med. 2024;39(9):1583-1589. doi:10.1007/s11606-023-08597-3
  45. Greuel M, Sy F, Bärnighausen T, et al. Community Health Worker Use of Smart Devices for Health Promotion: Scoping Review. JMIR Mhealth Uhealth. 2023;11:e42023. doi:10.2196/42023
  46. Somani S, Balla S, Peng AW, et al. Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence. NPJ Digit Med. 2024;7(1):83. doi:10.1038/s41746-024-01077-w
  47. Wu S, Rhee JW, Iukuridze A, et al. Coronary artery calcium and cardiovascular outcomes in patients with lymphoma undergoing autologous hematopoietic cell transplantation. Cancer. 2024;130(12):2205-2214. doi:10.1002/cncr.35252
  48. Haudenschild C, Parsa S, Rodriguez F. Correction to: Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know? Curr Atheroscler Rep. 2025;27(1):84. doi:10.1007/s11883-025-01327-6
  49. Zuma BZ, Azizi Z, King S, et al. County-Level Determinants of the Loss of the Hispanic Mortality Advantage in the United States. J GEN INTERN MED. Published online September 23, 2025. doi:10.1007/s11606-025-09705-1
  50. Chandra J, Short S, Rodriguez F, et al. Deep Learning Chest X-Ray Age, Epigenetic Aging Clocks and Associations with Age-Related Subclinical Disease in the Project Baseline Health Study. J Gerontol A Biol Sci Med Sci. Published online August 8, 2025:glaf173. doi:10.1093/gerona/glaf173
  51. Funes Hernandez M, Babakhanian M, Chen TP, et al. Design and Implementation of an Electronic Health Record-Integrated Hypertension Management Application. J Am Heart Assoc. 2024;13(2):e030884. doi:10.1161/JAHA.123.030884
  52. van Egmond S, Cai ZR, Nava V, et al. Development of a Digital Tool for Home-Based Monitoring of Skin Disease for Older Adults. Skin Health and Disease. 2023;3(5):ski2.235. doi:10.1002/ski2.235
  53. Rezaei SJ, Chen ML, Kim J, John EM, Sunwoo JB, Linos E. Development of Melanoma and Other Nonkeratinocyte Skin Cancers After Thyroid Cancer Radiation. JAMA Netw Open. 2024;7(9):e2434841. doi:10.1001/jamanetworkopen.2024.34841
  54. Azizi Z, Rodriguez F, Assimes TL. Digital Footprints of Obesity Treatment: GLP-1 Receptor Agonists and the Health Equity Divide. Circulation. 2024;150(3):171-173. doi:10.1161/CIRCULATIONAHA.124.069680
  55. Azizi Z, Broadwin C, Islam S, et al. Digital Health Interventions for Heart Failure Management in Underserved Rural Areas of the United States: A Systematic Review of Randomized Trials. J Am Heart Assoc. 2024;13(2):e030956. doi:10.1161/JAHA.123.030956
  56. Vasti EC, Basina M, Calma J, Maron DJ, Rodriguez F, Sandhu AT. Disparities in adoption of new diabetic therapies with cardiovascular benefits. Diabetes Res Clin Pract. 2023;196:110233. doi:10.1016/j.diabres.2022.110233
  57. Gao Y, Fulk T, Mori W, et al. Diversity and Career Goals of Graduating Allopathic Medical Students Pursuing Careers in Dermatology. JAMA Dermatol. 2023;159(1):47-55. doi:10.1001/jamadermatol.2022.4984
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  73. Liu S, Haucke M, Wegner L, Gates J, Bärnighausen T, Adam M. Evidence-based health messages increase intention to cope with loneliness in Germany: a randomized controlled online trial. NPJ Digit Med. 2024;7(1):105. doi:10.1038/s41746-024-01096-7
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  82. Rodriguez F, Khera A. How Low Can You Go? New Evidence Supports No Lower Bound to Low-Density Lipoprotein Cholesterol Level in Secondary Prevention. Circulation. 2023;147(16):1204-1207. doi:10.1161/CIRCULATIONAHA.123.064041
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  84. Sarraju A, Zammit A, Ngo S, Witting C, Hernandez-Boussard T, Rodriguez F. Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records. J Am Heart Assoc. 2023;12(7):e028120. doi:10.1161/JAHA.122.028120
  85. Kim J, Linos E, Dove MS, Hoch JS, Keegan TH. Impact of COVID-19, cancer survivorship and patient-provider communication on mental health in the US Difference-In-Difference. npj Mental Health Res. 2023;2(1):14. doi:10.1038/s44184-023-00034-x
  86. Kalwani NM, Koos H, Kohn E, et al. Impact of Initial Cardiology Telemedicine Evaluation on Follow-Up Visits for Common Conditions: Quasi-Experimental Study. Journal of Medical Internet Research. 2025;27(1):e73509. doi:10.2196/73509
  87. Rezaei SJ, Eid E, Tang JY, Kurian AW, Kwong BY, Linos E. Incidence of Nonkeratinocyte Skin Cancer After Breast Cancer Radiation Therapy. JAMA Netw Open. 2024;7(3):e241632. doi:10.1001/jamanetworkopen.2024.1632
  88. Chen ML, Rezaei SJ, Kim J, et al. Incidence of suicide among melanoma and nonkeratinocyte skin cancer patients in the United States, 2000-2020. Journal of the American Academy of Dermatology. 2024;91(4):715-717. doi:10.1016/j.jaad.2024.05.028
  89. Touma F, Cai ZR, Rezaei SJ, Rajan N, Linos K, Linos E. Incidence rate analysis of cutaneous soft tissue sarcomas in the USA. Skin Health Dis. 2025;5(3):244-246. doi:10.1093/skinhd/vzaf030
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  92. Gomez SE, Dudum R, Rodriguez F. Inequities in atherosclerotic cardiovascular disease prevention. Prog Cardiovasc Dis. 2024;84:43-50. doi:10.1016/j.pcad.2024.05.002
  93. de Vere Hunt I, Lester J, Linos E. Insufficient Evidence for Screening Reinforces Need for Primary Prevention of Skin Cancer. JAMA Intern Med. 2023;183(6):509-511. doi:10.1001/jamainternmed.2023.0927
  94. Ikemura N, Spertus JA, Nguyen D, et al. International Variation in Health Status Benefits in Patients Undergoing Initial Invasive Versus Conservative Management for Chronic Coronary Disease: Insights From the ISCHEMIA Trial. Circulation: Cardiovascular Quality and Outcomes. 2024;17(10):e010534. doi:10.1161/CIRCOUTCOMES.123.010534
  95. Kim J, Leonte KG, Chen ML, et al. Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder. npj Digit Med. 2024;7(1):193. doi:10.1038/s41746-024-01181-x
  96. Semere W, Ponce AN, Linos E, Jagsi R, Mangurian C, Halley MC. “Learning from those who know the system inside and out”: Experiences of physician mothers who are informal caregivers. Families, Systems, & Health. 2025;43(2):386-393. doi:10.1037/fsh0000945
  97. Azizi Z, Adedinsewo D, Rodriguez F, Lewey J, Merchant RM, Brewer LC. Leveraging Digital Health to Improve the Cardiovascular Health of Women. Curr Cardiovasc Risk Rep. 2023;17(11):205-214. doi:10.1007/s12170-023-00728-z
  98. Matin RN, Linos E, Rajan N. Leveraging large language models in dermatology. Br J Dermatol. 2023;189(3):253-254. doi:10.1093/bjd/ljad230
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  135. Longoni M, Bhasin K, Ward A, et al. Real-world utilization of guideline-directed genetic testing in inherited cardiovascular diseases. Front Cardiovasc Med. 2023;10:1272433. doi:10.3389/fcvm.2023.1272433
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  138. Sandhu AT, Rodriguez F, Maron DJ. Response by Sandhu et al to Letter Regarding Article, “Incidental Coronary Artery Calcium: Opportunistic Screening of Previous Nongated Chest Computed Tomography Scans to Improve Statin Rates (NOTIFY-1 Project).” Circulation. 2023;148(5):441. doi:10.1161/CIRCULATIONAHA.123.065360
  139. Pagidipati N, Heidenfelder B, Kwee LC, et al. Returning Individual-Level Urgent or Emergent Research Results to Participants: The Project Baseline Health Study Experience. American Journal of Medicine Open. 2025;13:100092. doi:10.1016/j.ajmo.2025.100092
  140. Eid E, Maloney NJ, Cai ZR, et al. Risk of Multiple Primary Cancers in Patients With Merkel Cell Carcinoma: A SEER-Based Analysis. JAMA Dermatol. 2023;159(11):1248-1252. doi:10.1001/jamadermatol.2023.2849
  141. Cook S, Pethick J, Kibbi N, et al. Sebaceous carcinoma epidemiology, associated malignancies and Lynch/Muir-Torre syndrome screening in England from 2008 to 2018. Journal of the American Academy of Dermatology. 2023;89(6):1129-1135. doi:10.1016/j.jaad.2023.03.046
  142. Maron DJ, Rodriguez F. Seeing Is Knowing. JACC. 2024;84(15):1404-1406. doi:10.1016/j.jacc.2024.06.048
  143. Rodriguez F. Sex Disparities in Prevention of Atherosclerotic Cardiovascular Disease Across the Life Course. Circulation. 2023;147(7):523-525. doi:10.1161/CIRCULATIONAHA.122.063148
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  145. Adam M, Klapow M, Greuel M, et al. Short, Animated Storytelling Video to Reduce Addiction Stigma in 13,500 Participants Across Multiple Countries Through an Online Approach: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2025;14:e73382. doi:10.2196/73382
  146. Yiadom MYAB, Gong W, Bloos SM, et al. Shorter Door-to-ECG Time Is Associated with Improved Mortality in STEMI Patients. J Clin Med. 2024;13(9):2650. doi:10.3390/jcm13092650
  147. Rezaei SJ, Kim J, Onyeka S, et al. Skin Cancer and Other Dermatologic Conditions Among US Veterans. JAMA Dermatol. 2024;160(10):1107-1111. doi:10.1001/jamadermatol.2024.3043
  148. Azizi Z, Ward AT, Lee DJ, et al. Sociodemographic determinants of oral anticoagulant prescription in patients with atrial fibrillations: findings from the PINNACLE registry using machine learning. Heart Rhythm O2. 2023;4(3):158-168. doi:10.1016/j.hroo.2022.11.004
  149. Peng AW, Skye M, Jain SS, et al. Sociodemographic Differences Among Patients Receiving Coronary Artery Calcium Imaging vs Nongated Chest Computed Tomography Imaging. JACC Adv. 2024;3(7):100963. doi:10.1016/j.jacadv.2024.100963
  150. Osmanlliu E, Kalwani NM, Parameswaran V, et al. Sociodemographic disparities in the use of cardiovascular ambulatory care and telemedicine during the COVID-19 pandemic. Am Heart J. 2023;263:169-176. doi:10.1016/j.ahj.2023.06.011
  151. Schütz N, Doijad R, Eltahir AA, Sarraju A, Rodriguez F, Kim DS. Speaking the Language of Inclusion: Examining English Language Requirements in Cardiovascular Digital Health Trials. JACC Adv. 2025;4(10 Pt 2):102123. doi:10.1016/j.jacadv.2025.102123
  152. Bouladian SG, Ngo S, Mastrodicasa D, et al. Statin Therapy Persistence Following Opportunistic Screening for Coronary Artery Calcium on Nongated Chest CTs. JACC: Cardiovascular Imaging. 2025;18(7):841-843. doi:10.1016/j.jcmg.2025.03.007
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  154. Chen ML, Gomez SL, O’Hara R, et al. Surgery and Suicide Deaths Among Patients With Cancer. JAMA Netw Open. 2024;7(9):e2431414. doi:10.1001/jamanetworkopen.2024.31414
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  156. Gomez SE, Furst A, Chen T, et al. Temporal trends in lipoprotein(a) testing among United States veterans from 2014 to 2023. American Journal of Preventive Cardiology. 2024;20:100872. doi:10.1016/j.ajpc.2024.100872
  157. Seckel E, Stephens BY, Rodriguez F. Ten simple rules to leverage large language models for getting grants. PLoS Comput Biol. 2024;20(3):e1011863. doi:10.1371/journal.pcbi.1011863
  158. Hong J, Kikuta NT, Simos A, et al. Testing the Appropriateness of Diabetes Prevention and Care Information Given by the Online Conversational AI ChatGPT. Clin Diabetes. 2023;41(4):549-552. doi:10.2337/cd23-0026
  159. Lala A, Beavers C, Blumer V, et al. The Continuum of Prevention and Heart Failure in Cardiovascular Medicine: A Joint Scientific Statement from the Heart Failure Society of America and The American Society for Preventive Cardiology. Journal of Cardiac Failure. 2025;0(0). doi:10.1016/j.cardfail.2025.06.013
  160. Sarraju A, Ngo S, Rodriguez F. The leaky pipeline of diverse race and ethnicity representation in academic science and technology training in the United States, 2003-2019. PLoS One. 2023;18(4):e0284945. doi:10.1371/journal.pone.0284945
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