Eyal Klang

Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments

2023 · 316 Zit. · Scientific Reports

Large language model (ChatGPT) as a support tool for breast tumor board

2023 · 207 Zit. · npj Breast Cancer

Deep Learning for Natural Language Processing in Radiology—Fundamentals and a Systematic Review

2020 · 186 Zit. · Journal of the American College of Radiology

Large Language Models and Empathy: Systematic Review

2024 · 137 Zit. · Journal of Medical Internet Research

A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score

2019 · 122 Zit. · Journal of General Internal Medicine

Evaluating the use of large language model in identifying top research questions in gastroenterology

2023 · 121 Zit. · Scientific Reports

Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis

2021 · 117 Zit. · Surgical Endoscopy

Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying

2024 · 116 Zit. · NEJM AI

Large language models for generating medical examinations: systematic review

2024 · 102 Zit. · BMC Medical Education

Evaluating the Utility of a Large Language Model in Answering Common Patients’ Gastrointestinal Health-Related Questions: Are We There Yet?

2023 · 97 Zit. · Diagnostics

ChatGPT-4 Assistance in Optimizing Emergency Department Radiology Referrals and Imaging Selection

2023 · 82 Zit. · Journal of the American College of Radiology

Advantages and pitfalls in utilizing artificial intelligence for crafting medical examinations: a medical education pilot study with GPT-4

2023 · 78 Zit. · BMC Medical Education

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room

2024 · 78 Zit. · Journal of the American Medical Informatics Association

Assessing GPT-4 multimodal performance in radiological image analysis

2024 · 70 Zit. · European Radiology

Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support

2025 · 67 Zit. · Communications Medicine