H. Peter Soyer

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 · 260 Zit. · Scientific Reports

Informing a position statement on the use of artificial intelligence in dermatology in Australia

2022 · 16 Zit. · Australasian Journal of Dermatology

Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study

2022 · 9 Zit. · JMIR Dermatology

What Are Patients’ Perceptions and Attitudes Regarding the Use of Artificial Intelligence in Skin Cancer Screening and Diagnosis? Narrative Review

2025 · 4 Zit. · Journal of Investigative Dermatology

Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative Interview Study

2025 · 1 Zit. · JMIR Dermatology

Informing a Position Statement on the Use of Large Language Models and <scp>AI</scp> Scribes in Dermatology in Australia

2025 · 0 Zit. · Australasian Journal of Dermatology

421 Pathologist consensus for diagnostic labels is crucial in the developement of artificial intelligence training data in dermatology

2024 · 0 Zit. · Journal of Investigative Dermatology

Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative Interview Study (Preprint)

2024 · 0 Zit.