Recent Publications

Peer-reviewed articles by Computational Precision Health faculty and students (select list).

Tawfik, D., Rule, A., Alexanian, A., Cross, D., Holmgren, A. J., Lou, S. S., … & Apathy, N. C. (2025). Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata. Journal of Medical Internet Research, 27, e64721. 

Bennett, D. J., Feng, J., Goldman, S., Kothari, A., Gottlieb, L. M., Durstenfeld, M. S., Marks, J., Ehrlich, S., Davis, J., & Zier, L. S. (2025). Reducing readmissions in the safety net through AI and automation. The American journal of managed care, 31(3), 142–148.

Phongpreecha, T., Ghanem, M., Reiss, J. D., Oskotsky, T., Mataraso, S. J., De Francesco, D., … Sirota, M., … & Aghaeepour, N. (2025). AI-guided precision parenteral nutrition for neonatal intensive care units. Nature Medicine, 1-13.

Kalimouttou, A., Kennedy, J. N., Feng, J., Singh, H., Saria, S., Angus, D. C., … & Pirracchio, R. (2025). Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study. JAMA. 

Hathaway, Q. A., Kasaeian, A., Pan, T., Bluemke, D. A., Ghotbi, E., Klein, J. G., … Tison, G. H., … & Demehri, S. (2025). A Deep Learning Model for Three-Dimensional Determination of Whole Thoracic Vertebral Bone Mineral Density from Noncontrast Chest CT: The Multi-Ethnic Study of Atherosclerosis. Radiology, 314(3), e242133

Miao, B. Y., Chen, I. Y., Williams, C. Y. K., Davidson, J., Garcia-Agundez, A., Sun, S., Zack, T., Saria, S., Arnaout, R., Quer, G., Sadaei, H. J., Torkamani, A., Beaulieu-Jones, B., Yu, B., Gianfrancesco, M., Butte, A. J., Norgeot, B., & Sushil, M. (2025). The MI-CLAIM-GEN checklist for generative artificial intelligence in health. Nature medicine, 10.1038/s41591-024-03470-0. Advance online publication. 

Spiegel, D. Y., Friesner, I. D., Zhang, W., Zack, T., Yan, G., Willcox, J., Prionas, N., Singer, L., Park, C., & Hong, J. C. (2025). Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study. JMIR cancer, 11, e52886.

Baranzini, S. E. (2025). Multi-disciplinary research will be the key to stop, restore, and end MS. Multiple Sclerosis Journal, 13524585251314756.

Feng, J., Xia, F., Singh, K., & Pirracchio, R. (2025). Not all clinical AI monitoring systems are created equal: Review and recommendations. NEJM AI, 2(2).

Pierson, E., Shanmugam, D., Movva, R., Kleinberg, J., Agrawal, M., Dredze, M., … Obermeyer, Z., … & Vafa, K. (2025). Using Large Language Models to Promote Health Equity. NEJM AI, AIp2400889.

Eghbali, R., Nedelec, P., Weiss, D., Bhalerao, R., Xie, L., Rudie, J. D., Liu, C., Sugrue, L. P., & Rauschecker, A. M. (2025). Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability. Neuroinformatics, 23(1), 2. https://doi.org/10.1007/s12021-024-09708-z.

Nong, P., Adler-Milstein, J., Apathy, N. C., Holmgren, A. J., & Everson, J. (2025). Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals: Article examines uses and evaluation of artificial intelligence and predictive models in US hospitals. Health Affairs, 44(1), 90-98.

Akre, S., Seok, D., Douglas, C., Aguilera, A., Carini, S., Dunn, J., … & Freimer, N. B. (2024). Advancing digital sensing in mental health research. npj Digital Medicine, 7(1), 362. 

Strawley, C. E., Adler-Milstein, J., Holmgren, A. J., & Everson, J. (2024). New indices to track interoperability among US hospitals. Journal of the American Medical Informatics Association, ocae289.

Scholey, J., Rajagopal, A., Hong, J., Larson, P., & Sheng, K. (2024). Deep Learning for Magnetic Resonance Imaging-Based Radiation Therapy for Prostate Cancer: Current Status. Reviews in Urology | 2024, 23(4). 

Petersen, M., Alaa, A., Kıcıman, E., Holmes, C., & van der Laan, M. (2024). Artificial Intelligence–Based Copilots to Generate Causal Evidence. NEJM AI, AIp2400727. 

Li, S., Fan, C., Kargarandehkordi, A., Sun, Y., Slade, C., Jaiswal, A., Benzo, R. M., Phillips, K. T., & Washington, P. (2024). Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing. AI, 5(4), 2725-2738. https://doi.org/10.3390/ai5040131. 

Wang, M., Komanduri, K. V., Datta, D., Patel, A., Whitaker, B., Belov, A., … & Butte, A. (2024). AI Predicts Early Relapse Post-Axicabtagene Ciloleucel in Diffuse Large B-Cell Lymphoma Patients in a Multi-Center Real-World Study. Blood, 144, 390.

Cunningham, J. W., Abraham, W. T., Bhatt, A. S., Dunn, J., Felker, G. M., Jain, S. S., … Tison, G. H., & Heart Failure Collaboratory. (2024). Artificial Intelligence in Cardiovascular Clinical Trials. Journal of the American College of Cardiology, 84(20), 2051-2062

Rotenstein, L. S., Hendrix, N., Phillips, R. L., & Adler-Milstein, J. (2024). Team and electronic health record features and burnout among family physicians. JAMA Network Open, 7(11), e2442687-e2442687.

Bernardo, D., Kim, J., Cornet, M. C., Numis, A. L., Scheffler, A., Rao, V. R., Amorim, E., & Glass, H. C. (2024). Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy. Epilepsia, 10.1111/epi.18163. Advance online publication.