OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 07.04.2026, 01:42

Roxana Daneshjou

155 Arbeiten5.419 Zitationen

Emergency University · US

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

2021 · 435 Zit. · Nature Medicine

Large language models propagate race-based medicine

2023 · 309 Zit. · npj Digital Medicine

Large Language Models in Medicine: The Potentials and Pitfalls

2024 · 268 Zit. · Annals of Internal Medicine

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

2024 · 258 Zit. · Radiology Artificial Intelligence

The TRIPOD-LLM reporting guideline for studies using large language models

2025 · 238 Zit. · Nature Medicine

An evaluation framework for clinical use of large language models in patient interaction tasks

2025 · 124 Zit. · Nature Medicine

Black Box Warning: Large Language Models and the Future of Infectious Diseases Consultation

2023 · 116 Zit. · Clinical Infectious Diseases

A scoping review of reporting gaps in FDA-approved AI medical devices

2024 · 111 Zit. · npj Digital Medicine

Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI

2023 · 71 Zit. · npj Digital Medicine

Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines

2021 · 27 Zit. · Journal of Investigative Dermatology

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

2025 · 22 Zit. · npj Digital Medicine

The Promises and Perils of Foundation Models in Dermatology

2024 · 21 Zit. · Journal of Investigative Dermatology

The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models Use

2024 · 20 Zit.

Guidelines For Rigorous Evaluation of Clinical LLMs For Conversational Reasoning

2023 · 17 Zit.

Applied artificial intelligence for global child health: Addressing biases and barriers

2024 · 17 Zit. · PLOS Digital Health