Veronica Rotemberg

Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms

2021 · 353 Zit. · JAMA Dermatology

Large language models propagate race-based medicine

2023 · 328 Zit. · npj Digital Medicine

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

2024 · 307 Zit. · Radiology Artificial Intelligence

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

2021 · 242 Zit. · European Journal of Cancer

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology

2021 · 143 Zit. · JAMA Dermatology

Current State of Dermatology Mobile Applications With Artificial Intelligence Features

2024 · 53 Zit. · JAMA Dermatology

<scp>3D Whole‐body</scp> skin imaging for automated melanoma detection

2023 · 29 Zit. · Journal of the European Academy of Dermatology and Venereology

Beyond the hype: large language models propagate race-based medicine

2023 · 11 Zit. · medRxiv

Dermatologists’ Perspectives and Usage of Large Language Models in Practice: An Exploratory Survey

2024 · 9 Zit. · Journal of Investigative Dermatology

Evaluation of diagnosis diversity in artificial intelligence datasets: a scoping review

2022 · 7 Zit. · British Journal of Dermatology

Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: Results from the 2020 <scp>SIIM</scp>‐<scp>ISIC</scp> melanoma classification challenge

2024 · 6 Zit. · Journal of the European Academy of Dermatology and Venereology

50830 Dermatologists’ perspectives on the usage of AI-based large language models in practice- an exploratory survey

2024 · 1 Zit. · Journal of the American Academy of Dermatology

Challenges and Opportunities for AI in Dermatology Residency

2025 · 1 Zit. · JAMA Dermatology

Augmented Intelligence and Dermatology - Part II: Bias, Benchmarks, Guidelines, Ethics, Regulation, and Future Directions

2025 · 1 Zit. · Journal of the American Academy of Dermatology

A cross-sectional study assessing artifical intelligence guidelines in dermatology journals: Implications and recommendations for authors and reviewers

2025 · 1 Zit. · Journal of the American Academy of Dermatology