Benjamin S. Glicksberg

Artificial Intelligence in Cardiology

2018 · 1.108 Zit. · Journal of the American College of Cardiology

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

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

2023 · 304 Zit. · Scientific Reports

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

2023 · 117 Zit. · Scientific Reports

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

2024 · 109 Zit. · NEJM AI

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

2023 · 94 Zit. · Diagnostics

Large language models for generating medical examinations: systematic review

2024 · 93 Zit. · BMC Medical Education

Artificial intelligence-enabled decision support in nephrology

2022 · 84 Zit. · Nature Reviews Nephrology

Federated Learning for Healthcare Informatics

2019 · 65 Zit. · arXiv (Cornell University)

Assessing GPT-4 multimodal performance in radiological image analysis

2024 · 64 Zit. · European Radiology

Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication in Patients with COVID-19 from the Emergency Department

2020 · 56 Zit. · Radiology Artificial Intelligence

Benefits, limits, and risks of ChatGPT in medicine

2025 · 45 Zit. · Frontiers in Artificial Intelligence

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings

2023 · 39 Zit. · Annals of Internal Medicine

Adversarial attacks in radiology – A systematic review

2023 · 37 Zit. · European Journal of Radiology