most citedPromoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools

15 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2025

Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool

Zhenhong Hu, Esra Adiyeke, Ziyuan Guan +8

Background: Social determinants of health (SDoH) play a crucial role in influencing health outcomes, accounting for nearly 50% of modifiable health factors and bringing to light cr…

cs.CY2024★ 15 cited

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools

Yingbo Ma, Yukyeong Song, Jeremy A. Balch +12

As more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical A…

cs.HC2024★ 2 cited

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications

Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan +10

Given the sheer volume of surgical procedures and the significant rate of postoperative fatalities, assessing and managing surgical complications has become a critical public healt…

cs.LG2024★ 2 cited

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision

Yingbo Ma, Suraj Kolla, Zhenhong Hu +11

Modern electronic health records (EHRs) hold immense promise in tracking personalized patient health trajectories through sequential deep learning, owing to their extensive breadth…

cs.LG2024

Federated learning model for predicting major postoperative complications

Yonggi Park, Yuanfang Ren, Benjamin Shickel +8

Background: The accurate prediction of postoperative complication risk using Electronic Health Records (EHR) and artificial intelligence shows great potential. Training a robust ar…

cs.LG2024

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records

Yingbo Ma, Suraj Kolla, Dhruv Kaliraman +10

The breadth, scale, and temporal granularity of modern electronic health records (EHR) systems offers great potential for estimating personalized and contextual patient health traj…