- Adriana Arcia, Natalie C. Benda, Danny T. Y. Wu. Advancing the science of visualization of health data for lay audiences. JAMIA, 31(2):283-288, January 2024.
- Sabrina Mangal, Lauren Berger, Jean-Marie Bruzzese, Alexandra de la Cruz, Maichou Lor, Imama A Naqvi, Eugenio Solis de Ovando, Nicole Spiegel-Gotsch, Samantha Stonbraker, Adriana Arcia. Seeing things the same way: perspectives and lessons learned from research-design collaborations. JAMIA, 31(2):542-547, January 2024.
- Surabhi Datta, Kyeryoung Lee, Hunki Paek, Frank J. Manion, Nneka Ofoegbu, Jingcheng Du, Ying Li, Liang-Chin Huang, Jingqi Wang, Bin Lin, Hua Xu, Xiaoyan Wang. AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. JAMIA, 31(2):375-385, January 2024.
- Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo 0001, Jason Baron. Using machine learning to develop smart reflex testing protocols. JAMIA, 31(2):416-425, January 2024.
- Lynne M. Cotter, Sijia Yang. Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment. JAMIA, 31(2):317-328, January 2024.
- Sarah K. Savage, Jonathan Lotempio, Erica D. Smith, E. Hallie Andrew, Gloria Mas, Amanda H. Kahn-Kirby, Emmanuèle Délot, Andrea J. Cohen, Georgia Pitsava, Robert Nussbaum, Vincent A. Fusaro, Seth Berger, Eric Vilain. Using a chat-based informed consent tool in large-scale genomic research. JAMIA, 31(2):472-478, January 2024.
- Correction to: Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS). JAMIA, 31(2):548, January 2024.
- Ching-Tzu Tsai, Gargi Rajput, Andy Gao, Yue Wu, Danny T. Y. Wu. Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study. JAMIA, 31(2):465-471, January 2024.
- Wei-Chun Lin, Aiyin Chen, Xubo Song, Nicole Gray Weiskopf, Michael F. Chiang, Michelle R. Hribar. Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data. JAMIA, 31(2):456-464, January 2024.
- Anton H. van der Vegt, Victoria Campbell, Imogen Mitchell, James Malycha, Joanna Simpson, Tracy Flenady, Arthas Flabouris, Paul J. Lane, Naitik Mehta, Vikrant R. Kalke, Jovie A Decoyna, Nicholas Es'haghi, Chun-Huei Liu, Ian A Scott. Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. JAMIA, 31(2):509-524, January 2024.