Recent Publications
Peer-reviewed articles by Computational Precision Health faculty and students (select list).
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.
Robitschek, E., Bastani, A., Sordean, S.; Horwath, K., Lai, J., Pletcher, M., Chen, I., Ge, J. S2058 Applying Large Language Models to Better Understand Psychosocial Factors Influencing Successful Liver Transplant Completion. The American Journal of Gastroenterology 119(10S):p S1470-S1471, October 2024. | DOI: 10.14309/01.ajg.0001037600.86263.10
Arévalo Avalos, M. R., Patel, A., Duru, H., Shah, S., Rivera, M., Sorrentino, E., … & Aguilera, A. (2024). Implementation of a Technology-Enabled Diabetes Self-Management Peer Coaching Intervention for Patients With Poorly Controlled Diabetes: Quasi-Experimental Case Study. JMIR diabetes, 9, e54370.
Shirali, A., Schubert, A., & Alaa, A. (2024). Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care. IEEE journal of biomedical and health informatics, 28(10), 6268–6279.
Williams, C. Y., Miao, B. Y., Kornblith, A. E., & Butte, A. J. (2024). Evaluating the use of large language models to provide clinical recommendations in the Emergency Department. Nature Communications, 15(1), 8236.
Far, A., Bastani, A., Lee, A., Gologorskaya, O., Huang, C. Y., Pletcher, M. J., Lai, J. C., & Ge, J. (2024). Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4. Hepatology (Baltimore, Md.), 10.1097/HEP.0000000000001115. Advance online publication.
DiCarlo, J., Mukherjee, P., & Yuh, E. (2024). Visual Learning: An Interview with James DiCarlo. AI in Neuroscience, (0).
Williams, C.Y.K., Miao, B.Y., Kornblith, A.E., Butte, A.J. Evaluating the use of large language models to provide clinical recommendations in the Emergency Department. Nat Commun 15, 8236 (2024).
Sushil, M., Zack, T., Mandair, D., Zheng, Z., Wali, A., Yu, Y. N., … & Butte, A. J. (2024). A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports. Journal of the American Medical Informatics Association, ocae146.
