Benjamin S. Glicksberg

Artificial Intelligence in Cardiology

2018 · 1.117 Zit. · Journal of the American College of Cardiology

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

2021 · 669 Zit. · Nature Medicine

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

2023 · 309 Zit. · Scientific Reports

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

2023 · 121 Zit. · Scientific Reports

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

2024 · 110 Zit. · NEJM AI

Large language models for generating medical examinations: systematic review

2024 · 96 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 · 95 Zit. · Diagnostics

Artificial intelligence-enabled decision support in nephrology

2022 · 88 Zit. · Nature Reviews Nephrology

Assessing GPT-4 multimodal performance in radiological image analysis

2024 · 69 Zit. · European Radiology

Federated Learning for Healthcare Informatics

2019 · 66 Zit. · arXiv (Cornell University)

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 · 47 Zit. · Frontiers in Artificial Intelligence

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

2021 · 44 Zit. · Research Square

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

2023 · 40 Zit. · Annals of Internal Medicine

Adversarial attacks in radiology – A systematic review

2023 · 39 Zit. · European Journal of Radiology