Brandeis University

A systematic review of large language models and their implications in medical education

Harrison Lucas, Jeffrey S. Upperman, Jamie R. Robinson

2024 · 182 Zit.

Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Brooks Hanson, Shelley Stall, Joel Cutcher‐Gershenfeld et al.

2023 · 58 Zit.

REVIEW OF AI APPLICATIONS IN HEALTHCARE: COMPARATIVE INSIGHTS FROM THE USA AND AFRICA

Abdulraheem Olaide Babarinde, Oluwatoyin Ayo-Farai, Chinedu Paschal Maduka et al.

2023 · 40 Zit.

INTEGRATING AI INTO HEALTH INFORMATICS FOR ENHANCED PUBLIC HEALTH IN AFRICA: A COMPREHENSIVE REVIEW

Obe Destiny Balogun, Oluwatoyin Ayo-Farai, Oluwatosin Ogundairo et al.

2023 · 30 Zit.

Testing and Evaluation of Generative Large Language Models in Electronic Health Record Applications: A Systematic Review

Xinsong Du, Yifei Wang, Zhengyang Zhou et al.

2024 · 19 Zit.

Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases

Yifei Wang, Liqin Wang, Zhengyang Zhou et al.

2024 · 9 Zit.

Researchers’ Duty to Share Pre-publication Data: From the Prima Facie Duty to Practice

Christoph Schickhardt, Nelson Hosley, Eva C. Winkler

2016 · 6 Zit.

Evaluating ChatGPT: Strengths and Limitations in NLP Problem Solving

Yanyi Wu

2024 · 3 Zit.

Testing and evaluation of generative large language models in electronic health record applications: a systematic review

Xinsong Du, Zhengyang Zhou, Yifei Wang et al.

2025 · 2 Zit.

Professionalization of Research Computing and Data: An Expanded Agenda

Joel Cutcher‐Gershenfeld, Torey Battelle, Dana Brunson et al.

2023 · 2 Zit.

AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation

Yiming Li, Xinsong Du, Yifei Wang et al.

2025 · 1 Zit.

Artificial Intelligence and Systemic Risk

Stephen G. Cecchetti, Robin L. Lumsdaine, Tuomas Peltonen et al.

2025 · 0 Zit.