Philipp Tschandl

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

2021 · 143 Zit. · JAMA Dermatology

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

2024 · 137 Zit. · Nature Communications

Accuracy of Computer-Aided Diagnosis of Melanoma

2019 · 125 Zit. · JAMA Dermatology

Attitudes towards artificial intelligence within dermatology: an international online survey

2020 · 91 Zit. · British Journal of Dermatology

Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trial

2023 · 69 Zit. · The Lancet Digital Health

[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].

2020 · 9 Zit. · PubMed

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

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

2023 · 5 Zit. · arXiv (Cornell University)

Evaluating a CDS Hook for FHIR Questionnaires in a SMART on FHIR App and an Existing Dermatological CDS System

2023 · 3 Zit. · Studies in health technology and informatics

Machine learning algorithms using dermatoscopy for the prediction of melanoma prognosis: A narrative review of the literature

2025 · 1 Zit. · EJC Skin Cancer

Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public

2025 · 0 Zit. · ArXiv.org

Incubating Artificial Intelligence (AI) Initiatives and Careers in Dermatology

2026 · 0 Zit. · Journal of Investigative Dermatology

Special Issue on Artificial Intelligence in Dermatology: A Call for Collaborative Innovation

2025 · 0 Zit. · Dermatology Practical & Conceptual

A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in Dermatology

2026 · 0 Zit. · ArXiv.org

272P A multicenter study on human-machine interaction: Can CNN-support boost clinical decision-making in rare skin tumors?

2025 · 0 Zit. · ESMO Real World Data and Digital Oncology