English Multimodal Dermatology Online Consultation
Overview
English Multimodal Dermatology Online Consultation is an image and text dataset. It covers English. Typical applications include conversational AI, document understanding & OCR and clinical NLP. Relevant sectors: Healthcare and Science & Research. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- A sample is indicated as available from the provider.
- Version 1 as published by the source.
A US EPIC-style dermatology multimodal dataset of single- and multi-turn doctor-patient dialogues paired with images, covering 8 categories: Inflammatory Skin Conditions, Neoplastic Growth, Pigment Disorders, Hair Abnormalities, Nail Abnormalities, Trauma/Physical Damage, Animal Bites, and Allergies. Category distribution reflects natural real-world frequency (Pigment Disorders and Allergies are the largest categories at 1,739 and 1,690 respectively; Animal Bites is the smallest at 181). Images depict symptoms only and are de-identified (faces, prescriptions, and other identifying elements obscured).
Technical specifications
Related datasets
More in Healthcare & Life Sciences →Chinese and English Bilingual Multimodal Dermatology Online Consultation
A bilingual (Chinese original + English translation) dermatology multimodal dataset of single- and multi-turn doctor-patient dialogues paired with images, supporting…
- Language
- Chinese, English
- Volume
- —
- Domain
- Healthcare +1
- Use case
- Machine translation
More English text & language datasets
All 217 English text & language datasets →- English (Norwegian Accent) Speech-to-Text Transcribed Audio Dataset
- English oncology patient journey records, anonymized clinical text
- English patient claims journeys with ICD-10 diagnosis codes
- English(Philippine) Spontaneous Dialogue Smartphone speech dataset | 204 Hours | Speech Data
- English physiotherapy health articles, expert-written
- English (Polish Accent) Speech-to-Text Transcribed Audio Dataset
- English product reviews, aspect-based sentiment annotation
- English production-grade code repositories, JavaScript, TypeScript, Python
- English public-domain books, structured long-form, multi-domain