Exploring the analysis capabilities and clinical application potential of the Claude 3 Opus in different dermatologic images: the development of a large-scale multimodal model to assist in dermatology clinical practice (Preprint) DOI Creative Commons
Yuwei Huang, Xu Liu, Lu Zhang

и другие.

Опубликована: Июнь 12, 2024

BACKGROUND Publicly available, accessible, and user-friendly artificial intelligence is expected to serve in medical processes. Claude3, a newly introduced large-scale multimodal model, has demonstrated significantly superior image analysis capabilities compared other models official tests. However, there no research reporting the potential of Claude3 analysis. OBJECTIVE To explore applications Opus on dermatologic images. METHODS Dermoscopy dermatopathology images from textbooks were collected, question templates for different types diseases designed Opus. Three dermatologists used structured scoring system with five modules evaluate Opus' based recognition, description, completeness, diagnosis, clinical application, each module scored out 5 total score 25. RESULTS A 330 collected. highest pigmented disorders dermoscopy (18.65/25), followed by vascular (15.97/25) (15.86/25). In disorders, its (18.65/25) was higher than (14.54/25), but such difference existed disorders. Among modules, recognition (3.65/5) four modules. There between description (3.14/5) completeness (3.22/5), they diagnostic (2.47/5). malignant benign diseases, regardless or (all p-values <0.05), impact magnifications (p>0.05) number evaluators. CONCLUSIONS exhibits strong disease images, can accurately describe abnormalities completely, shows high sensitivity diseases. Apart assistance, could potentially be widely education patient communication. CLINICALTRIAL need

Язык: Английский

Exploring the analysis capabilities and clinical application potential of the Claude 3 Opus in different dermatologic images: the development of a large-scale multimodal model to assist in dermatology clinical practice (Preprint) DOI Creative Commons
Yuwei Huang, Xu Liu, Lu Zhang

и другие.

Опубликована: Июнь 12, 2024

BACKGROUND Publicly available, accessible, and user-friendly artificial intelligence is expected to serve in medical processes. Claude3, a newly introduced large-scale multimodal model, has demonstrated significantly superior image analysis capabilities compared other models official tests. However, there no research reporting the potential of Claude3 analysis. OBJECTIVE To explore applications Opus on dermatologic images. METHODS Dermoscopy dermatopathology images from textbooks were collected, question templates for different types diseases designed Opus. Three dermatologists used structured scoring system with five modules evaluate Opus' based recognition, description, completeness, diagnosis, clinical application, each module scored out 5 total score 25. RESULTS A 330 collected. highest pigmented disorders dermoscopy (18.65/25), followed by vascular (15.97/25) (15.86/25). In disorders, its (18.65/25) was higher than (14.54/25), but such difference existed disorders. Among modules, recognition (3.65/5) four modules. There between description (3.14/5) completeness (3.22/5), they diagnostic (2.47/5). malignant benign diseases, regardless or (all p-values <0.05), impact magnifications (p>0.05) number evaluators. CONCLUSIONS exhibits strong disease images, can accurately describe abnormalities completely, shows high sensitivity diseases. Apart assistance, could potentially be widely education patient communication. CLINICALTRIAL need

Язык: Английский

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