Visweswaran, Shyam

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

Seymour, C. W., Kennedy, J. N., Wang, S., Chang, C.-C. H., Elliott, C. F., Xu, Z., Berry, S., Clermont, G., Cooper, G., Gomez, H., et al. (2019) · JAMA

Sepsis Diagnosis and TreatmentInflammation biomarkers and pathways

Cited by 1,567

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, M. A., Chute, C. G., Bennett, T. D., Eichmann, D. A., Guinney, J., Kibbe, W. A., Payne, P. R. O., Pfaff, E. R., Robinson, P. N., Saltz, J. H., et al. (2021) · Journal of the American Medical Informatics Association

Research Data Management PracticesElectronic Health Records Systems

Cited by 553

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

Hanna, M. G., Pantanowitz, L., Jackson, B., Palmer, O., Visweswaran, S., Pantanowitz, J., Deebajah, M., & Rashidi, H. H. (2025) · Modern Pathology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 535

A framework for human evaluation of large language models in healthcare derived from literature review.

Tam, T. Y. C., Sivarajkumar, S., Kapoor, S., Stolyar, A. V., Polanska, K., McCarthy, K. R., Osterhoudt, H., Wu, X., Visweswaran, S., Fu, S., et al. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 424

The All of Us Research Program: Data quality, utility, and diversity

Ramirez, A. H., Sulieman, L., Schlueter, D. J., Halvorson, A., Qian, J., Ratsimbazafy, F., Loperena, R., Mayo, K., Basford, M., Deflaux, N., et al. (2022) · Patterns

Electronic Health Records SystemsEthics in Clinical Research

Cited by 352

Comparison of machine learning classifiers for influenza detection from emergency department free-text reports

López Pineda, A., Ye, Y., Visweswaran, S., Cooper, G. F., Wagner, M. M., & Tsui, F. (. (2015) · Journal of Biomedical Informatics

Data-Driven Disease SurveillanceMachine Learning in Healthcare

Cited by 88

Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care

Wu, X., Garduno-Rapp, N. E., Rousseau, J. F., Thakkallapally, M., Zhang, H., Ji, Y., Visweswaran, S., Peng, Y., & Wang, Y. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1