Milstein, Arnold

A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs)

Bedi, S., Liu, Y., Orr-Ewing, L., Dash, D., Koyejo, S., Callahan, A., Fries, J. A., Wornow, M., Swaminathan, A., Lehmann, L. S., et al. (2024) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 738

Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial

Goh, E., Gallo, R., Hom, J., Strong, E., Weng, Y., Kerman, H., Cool, J. A., Kanjee, Z., Parsons, A. S., Ahuja, N., et al. (2024) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 724

Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review

Bedi, S., Liu, Y., Orr-Ewing, L., Dash, D., Koyejo, S., Callahan, A., Fries, J. A., Wornow, M., Swaminathan, A., Lehmann, L. S., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 662

Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health

Miner, A. S., Milstein, A., Schueller, S., Hegde, R., Mangurian, C., & Linos, E. (2016) · JAMA Internal Medicine

Digital Mental Health InterventionsArtificial Intelligence in Healthcare and Education

Cited by 368

Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks

Jin, A., Yeung, S., Jopling, J., Krause, J., Azagury, D., Milstein, A., & Fei-Fei, L. (2018) · 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

Surgical Simulation and TrainingAdvanced Neural Network Applications

Cited by 323

Making Machine Learning Models Clinically Useful

Shah, N. H., Milstein, A., & Bagley, P. (2019) · JAMA

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 294

Illuminating the dark spaces of healthcare with ambient intelligence

Haque, A., Milstein, A., & Fei-Fei, L. (2020) · Nature

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 274

Talking to machines about personal mental health problems

Miner, A. S., Milstein, A., & Hancock, J. T. (2017) · JAMA

Digital Mental Health InterventionsSocial Robot Interaction and HRI

Cited by 153

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Yeung, S., Rinaldo, F., Jopling, J., Liu, B., Mehra, R., Downing, N. L., Guo, M., Bianconi, G. M., Alahi, A., Lee, J., et al. (2019) · npj Digital Medicine

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 125

Automatic detection of hand hygiene using computer vision technology

Singh, A., Haque, A., Alahi, A., Yeung, S., Guo, M., Glassman, J. R., Beninati, W., Platchek, T., Fei-Fei, L., & Milstein, A. (2020) · Journal of the American Medical Informatics Association

Infection Control in HealthcareHand Gesture Recognition Systems

Cited by 61

Influence of a Large Language Model on Diagnostic Reasoning: A Randomized Clinical Vignette Study

Goh, E., Gallo, R., Hom, J., Strong, E., Weng, Y., Kerman, H., Cool, J., Kanjee, Z., Parsons, A. S., Ahuja, N., et al. (2024) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 38

ChatGPT Influence on Medical Decision-Making, Bias, and Equity: A Randomized Study of Clinicians Evaluating Clinical Vignettes

Goh, E., Bunning, B., Khoong, E., Gallo, R., Milstein, A., Centola, D., & Chen, J. H. (2023) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 37

Large Language Model Influence on Management Reasoning: A Randomized Controlled Trial

Goh, E., Gallo, R., Strong, E., Weng, Y., Kerman, H., Freed, J., Cool, J. A., Kanjee, Z., Lane, K. P., Parsons, A. S., et al. (2024) · medRxiv

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 13

SmartAlert - Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Laboratory Utilization Reduction

Liang, A. S., Amrollahi, F., Jiang, Y., Corbin, C. K., Kim, G. Y. E., Mui, D., Crowell, T., Acharya, A., Mony, S., Punnathanam, S., et al. (2026) · NEJM AI

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 0