Recent Publications
Peer-reviewed articles by Computational Precision Health faculty and students (select list).
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.
Serapio, A., Chaudhari, G., Savage, C. Yala, A. et al. An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study. BMC Med Imaging 24, 254 (2024).
Abbasi-Asl, R., & Ghosal G.R (2024). Interpretable Prototype Discovery in Deep Learning-based Time Series Classification. In Alam, M.-R. & Fathi, M (Eds.), Integrated Systems: Data Driven Engineering (1st ed., pp 25-34). Springer.
Subramanian, S.; Tseng, B.; del Carmen, M.; Goodman, A.; Dahl, D. M.; Barbieri, R.; Brown, E. N. Monitoring Surgical Nociception Using Multisensor Physiological Models. Proceedings of the National Academy of Sciences 2024, 121 (40), e2319316121.
Horwitz, R. I., Cullen, M. R., Hayes Conroy, A., Sim, I., Singer, B. H., Badal, K., & Offidani, E. (2024). Integrating biology and biography in medicine: The mind and body are not separate. PLOS Mental Health, 1(4), e0000122.
Soman, K., Rose, P. W., Morris, J. H., Akbas, R. E., Smith, B., Peetoom, B., … & Baranzini, S. E. (2024). Biomedical knowledge graph-optimized prompt generation for large language models. Bioinformatics, 40(9), btae560.
Schmajuk, G., Nasrallah, C., Berrean, B., Prugh, J., Wilson, C., Hamblin, A., Young, C., Jacobsohn, L., Kay, J., Li, J., Kersey, E., Subash, M., Murray, S., & Yazdany, J. (2024). A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA pro dashboard. Digital Health, 10.
Criss, S., Nguyen, T. T., Gonzales, S. M., Lin, B., Kim, M., Makres, K., Sorial, B. M., Xiong, Y., Dennard, E., Merchant, J. S., & Hswen, Y. (2024). “HIV Stigma Exists” – Exploring ChatGPT’s HIV Advice by Race and Ethnicity, Sexual Orientation, and Gender Identity. Journal of racial and ethnic health disparities, 10.1007/s40615-024-02162-2.
Alderden, J., Johnny, J., Brooks, K. R., Wilson, A., Yap, T. L., Zhao, Y. L., van der Laan, M., & Kennerly, S. (2024). Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk. American journal of critical care : an official publication, American Association of Critical-Care Nurses, 33(5), 373–381.
Holmgren, A. J., Hendrix, N., Maisel, N., Everson, J., Bazemore, A., Rotenstein, L., … & Adler-Milstein, J. (2024). Electronic Health Record Usability, Satisfaction, and Burnout for Family Physicians. JAMA Network Open, 7(8), e2426956-e2426956.
Kundu, S., Sair, H., Sherr, E. H., Mukherjee, P., & Rohde, G. K. (2024). Discovering the gene-brain-behavior link in autism via generative machine learning. Science Advances, 10(24), eadl5307.
Deshpande, D., Chhugani, K., Ramesh, T., Pellegrini, M., Shiffman, S., Abedalthagafi, M. S., Alqahtani, S., Ye, J., Liu, X. S., Leek, J. T., Brazma, A., Ophoff, R. A., Rao, G., Butte, A. J., Moore, J. H., Katritch, V., & Mangul, S. (2024). The evolution of computational research in a data-centric world. Cell, 187(17), 4449–4457.
Zink, A., Obermeyer, Z., & Pierson, E. (2024). Race adjustments in clinical algorithms can help correct for racial disparities in data quality. Proceedings of the National Academy of Sciences of the United States of America, 121(34), e2402267121.
Aguilera A,, Arévalo Avalos M., Xu J., Chakraborty B., Figueroa C., Garcia F., Rosales K., Hernandez-Ramos R., Karr C, Williams J., Ochoa-Frongia L., Sarkar U., Yom-Tov E., Lyles C. (2024). Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinical Trial. J Med Internet Res 2024;26:e6083.
Franklin, J. B., Marra, C., Abebe, K. Z., Butte, A. J., Cook, D. J., Esserman, L., Fleisher, L. A., Grossman, C. I., Kass, N. E., Krumholz, H. M., Rowan, K., Abernethy, A. P., & JAMA Summit on Clinical Trials Participants (2024). Modernizing the Data Infrastructure for Clinical Research to Meet Evolving Demands for Evidence. JAMA, 10.1001/jama.2024.0268.
Chow, R., Hasan, S., Zheng, A., Gao, C., Valdes, G., Yu, F., … & Simone II, C. B. (2024). The Accuracy of Artificial Intelligence ChatGPT in Oncology Exam Questions. Journal of the American College of Radiology.
