Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis
35
Zitationen
9
Autoren
2024
Jahr
Abstract
Our study highlights the potential of LLMs in assisting dermatologists but also reveals their limitations. Both models made errors in diagnosing melanoma and benign lesions. These findings underscore the need for developing robust, transparent, and clinically validated AI models through collaborative efforts between AI researchers, dermatologists, and other health care professionals. While AI can provide valuable insights, it cannot yet replace the expertise of trained clinicians.
Ähnliche Arbeiten
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.512 Zit.
Tumor Angiogenesis: Therapeutic Implications
1971 · 10.112 Zit.
Improved Survival with Vemurafenib in Melanoma with BRAF V600E Mutation
2011 · 7.675 Zit.
Pembrolizumab versus Ipilimumab in Advanced Melanoma
2015 · 5.811 Zit.
Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma
2017 · 5.363 Zit.