Summary

This summary explores a decade of impactful research by researchers like Seth J. Teller and others focusing on AI in healthcare. Early works addressed treatment switching bias and non-adherence in LLM contexts within digital medicine journals, with acceptance in CHIL 2025 and acceptance in NeurIPS 2024 for AI reporting guidelines. More recent efforts centered on LLMs understanding specific clinical issues like liver transplantation surgery outcomes during dialysis, highlighting the data challenge to be addressed. A critical analysis in 2024 explored patient safety risks, specifically involving AI scribes, based on user feedback signals. Researchers also contributed to academic awards and recognition for their work on SDOH and patient safety in precision medicine.

Title

Irene Y. Chen - UC Berkeley and UCSF

Description

Irene Y. Chen - UC Berkeley and UCSF

Keywords

chen, health, learning, machine, medicine, research, data, chair, bias, work, paper, best, presentation, care, healthcare, llms, award

NS Lookup

A 185.199.109.153, A 185.199.110.153, A 185.199.111.153, A 185.199.108.153

Dates

Created 2026-04-15

Updated 2026-04-15

Summarized 2026-04-16