Recent Publications
Peer-reviewed articles by Computational Precision Health faculty and students (select list).
Nair, S. S., Guo, A., Boen, J., Aggarwal, A., Chahal, O., Tandon, A., Patel, M., Sankararaman, S., Durr, N. J., Azad, T. D., Pirracchio, R., & Stevens, R. D. (2024). A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit.
Tang, A. S., Woldemariam, S. R., Miramontes, S., Norgeot, B., Oskotsky, T. T., & Sirota, M. (2024). Harnessing EHR data for health research. Nature Medicine, 1-9.
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.
Beecy, A. N., Longhurst, C. A., Singh, K., Wachter, R. M., & Murray, S. G. (2024). The Chief Health AI Officer—An Emerging Role for an Emerging Technology. NEJM AI, AIp2400109.
Ong, J. C. L., Chang, S. Y. H., William, W., Butte, A. J., Shah, N. H., Chew, L. S. T., … & Ting, D. S. W. (2024). Medical Ethics of Large Language Models in Medicine. NEJM AI, AIra2400038.
Labrecque Langlais, É., Corbin, D., Tastet, O., Hayek, A., Doolub, G., Mrad, S., … Tison, G. H., & Avram, R. (2024). Evaluation of stenoses using AI video models applied to coronary angiography. npj Digital Medicine, 7(1), 138.
Deng, D., Ostrem, J. L., Nguyen, V., Cummins, D. D., Sun, J., Pathak, A., … & Abbasi-Asl, R. (2024). Interpretable video-based tracking and quantification of parkinsonism clinical motor states. npj Parkinson’s Disease, 10(1), 122.
Feng, J., Gossmann, A., Pirracchio, R., Petrick, N., Pennello, G. A., & Sahiner, B. (2024, April). Is this model reliable for everyone? Testing for strong calibration. In International Conference on Artificial Intelligence and Statistics (pp. 181-189). PMLR.
Kim, H., Leventhal, B. L., Koh, Y. J., Gennatas, E. D., & Kim, Y. S. (2024). Development and Validation of Prediction Models for the Diagnosis of Autism Spectrum Disorder in a Korean General Population. JAACAP Open.
Oskotsky, T. T., Yin, O., Khan, U., Arnaout, L., & Sirota, M. (2024). Data-driven insights can transform women’s reproductive health. npj Women’s Health, 2(1), 14.
Williams, C. Y., Zack, T., Miao, B. Y., Sushil, M., Wang, M., Kornblith, A. E., & Butte, A. J. (2024). Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department. JAMA Network Open, 7(5), e248895-e248895.
Jain, A., Charpignon, M. L., Chen, I. Y., Philippakis, A., & Alaa, A. (2024). Generating new drug repurposing hypotheses using disease-specific hypergraphs. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 29, 261–275.
Odisho, A. Y., Liu, A. W., Pace, W. A., Krumm, R., Cowan, J. E., Carroll, P. R., & Cooperberg, M. R. (2024). MP07-14 DEVELOPMENT OF A GENERATIVE ARTIFICIAL INTELLIGENCE DATA PIPELINE TO AUTOMATE THE CAPTURE OF UNSTRUCTURED MRI DATA FOR PROSTATE CANCER CARE. The Journal of Urology, 211(5S), e110.
Feng, J., Subbaswamy, A., Gossmann, A., Singh, H., Sahiner, B., Kim, M. O., … Pirracchio, R., & Xia, F. (2024, March). Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. In Causal Learning and Reasoning (pp. 587-608). PMLR.
Cho, C. J., Mohamed, A., Li, S. W., Black, A. W., & Anumanchipalli, G. K. (2024, April). SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in Hubert. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 12076-12080). IEEE.
Mehandru, N., Miao, B. Y., Almaraz, E. R., Sushil, M., Butte, A. J., & Alaa, A. (2024). Evaluating large language models as agents in the clinic. NPJ Digital Medicine, 7(1), 84.
Miao, B. Y., Rodriguez Almaraz, E., Ashraf Ganjouei, A., Suresh, A., Zack, T., Bravo, M., … Alaa, A., & Butte, A. J. (2024). Generation of guideline-based clinical decision trees in oncology using large language models. medRxiv, 2024-03.
Friesner, I. D., Feng, J., Kalnicki, S., Garg, M., Ohri, N., & Hong, J. C. (2024). Machine Learning-Based Prediction of Hospitalization During Chemoradiotherapy With Daily Step Counts. JAMA oncology, e240014. Advance online publication. https://doi.org/10.1001/jamaoncol.2024.0014
Adler-Milstein, J., Redelmeier, D. A., & Wachter, R. M. (2024). The Limits of Clinician Vigilance as an AI Safety Bulwark. JAMA, 10.1001/jama.2024.3620. Advance online publication. https://doi.org/10.1001/jama.2024.3620.