Autoderm

by Autoderm  · Based in United Kingdom → — AI Powered Dermatology API for Skin Analysis. Power your platform with a fully white-label AI dermatology API built to deliver clinical decision support that scales patient triage and operational efficiency.
Dermatology
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Free, basic, enterprise
Documentation ProvidedRegulatory Status Disclosed

Overview

Autoderm is an AI-powered API designed to enhance teledermatology platforms by providing pre-triage and informational condition suggestions. It integrates into the submission stage of store-and-forward teledermatology models, processing uploaded images and clinical notes before human review. This allows for immediate informational feedback to the patient and provides dermatologists with valuable context prior to their consultation.

The tool operates on a “Gate-After” model, meaning users receive AI output directly at the moment of submission. This approach aims to improve the efficiency of specialist time by ensuring cases arrive in the best possible condition, potentially reducing the need for follow-up requests due to incomplete or low-quality submissions.

Clinical evidence supports Autoderm’s utility in real-world primary care settings. A study published in Scientific Reports (Escalé-Besa et al., 2023) demonstrated a 34% reduction in specialist referrals where AI-assisted triage was utilized, with 92% of participating GPs finding the tool useful. Notably, melanoma detection sensitivity was 100% in this study, indicating its ability to surface uncertainty rather than filter it out. The Coachella Study 2025 white paper also reported a top-5 suggestion accuracy of 93% and treatment pathway accuracy of 95%.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-assisted pre-triage
  • Informational condition suggestions
  • Confidence levels for suggestions
  • Image processing at submission stage
  • Gate-After deployment model
  • White-label architecture
  • API integration

Use Cases

  • Teledermatology platform enhancement
  • AI-assisted pre-screening for skin concerns
  • Reducing specialist referrals in primary care
  • Improving case quality for dermatologists
  • Providing immediate patient feedback

Details

Category Clinical Decision Support & Reference, Dermatology AI, Telehealth & Virtual Care
Pricing Free, basic, enterprise
  • The 'Trial' plan is free and includes 5 one-time detections with an Autoderm Free Key
  • The 'Basic' plan costs $100 per month for 100 detections, with additional calls billed at $1.00 each
  • The 'Enterprise' plan offers custom pricing for unlimited API volume and includes a dedicated success manager, priority support, custom SLAs, and onboarding assistance
Free TrialUnknown
DeploymentAPI, Cloud-based
Mobile App1
API AvailableUnknown
LanguagesEnglish
TrainingUnknown
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Pending AI-estimated

Autoderm holds FDA Breakthrough Device Designation for AI-powered dermatology screening. Use in the United States of America is for demonstration purposes only pending FDA clearance; it must not be used by US residents for medical guidance.
Integrations
EHR Not specified
Specialties Dermatology

Social Proof

Customersunknown
Notable
Boots UKDocMorris GermanymyGP app (formerly)

Support & Reliability

Training ProvidedUnknown

What the Web Says

Autoderm is an AI-powered dermatology decision support API that analyzes smartphone images to screen for over 70 skin conditions, providing results in under one second. It is designed to be integrated into third-party services for healthcare workers as a decision support tool and for laypersons as a skin analytics tool. The AI model has been researched in clinical settings, with studies indicating its accuracy is comparable to experienced General Practitioners (GPs) and that it can significantly reduce dermatology referrals.

Overall: Positive

Strengths

  • Aids in early detection of various dermatological issues, including skin cancers.
  • Can reduce dermatology referrals by up to 40%.
  • Provides quick and reliable results, often in under one second.
  • Demonstrated high accuracy in identifying potential melanoma cases for urgent review.
  • API is well-documented and easy for engineers to integrate.
  • Offers a white-label solution, allowing for configurable UI and patient journeys.

Limitations

  • Not intended to substitute a doctor's visit or provide medical advice, prescriptions, or treatment decisions.
  • Accuracy is not as good as a teledermatologist.
  • Some terminology used by Autoderm has been noted as obsolete or inaccurate in clinical practice by dermatologists.
  • Concerns exist regarding the lack of transparency in data storage and usage practices among AI dermatology apps in general.
  • General reluctance among people to completely trust an algorithm-based app over human decisions.
  • One Reddit user looking for a diagnostic tool for rashes found Autoderm on the myGP app to be more focused on uploading rashes for GP review rather than providing differential diagnoses.

Based on reviews from: Autoderm u2013 AI Dermatology API, Autoderm's AI and the myGP app by iPlato revolutionize skin health, Autoderm AI has flagged an estimated 5% of UK melanoma cases for clinical review, Clinical evidence - Autoderm, Become a clinical reviewer - Autoderm, Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care - PMC, Autoderm Bot available on Telegram!, Would you choose AI-enabled apps over dermatologists?, AI in virtual primary care: how digital front-door platforms use skin analysis, Boots UK Launches Free AI Skin Checker Powered by Autoderm : r/ai_dermatology - Reddit, About Autoderm u2013 AI-Powered Dermatology API, Almirall Backs Autoderm In The AI Technology Race - Online Dermatology - First Derm, AI Tool for Dermatology : r/doctorsUK - Reddit, Artificial intelligence in dermatology apps: A comprehensive review - Autoderm

Last updated: 2026-09-13

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Press & Coverage

Autoderm
AUTODERM joins Lablab NEXT AI accelerator program, leading the future of AI-driven dermatology
AUTODERM announced its participation in the Lablab NEXT AI Accelerator program, aiming to revolutionize skin disease screening through AI-driven dermatologic analytics and make advanced diagnostic support widely accessible.
2024-07
Health Tech World
AI-powered device identifies 5% of all UK melanoma cases - Health Tech World
An AI-powered medical device, AUTODERM, integrated into the myGP app, identified five percent of all UK melanoma cases in May as part of a Post-Market Clinical Follow-up, analyzing over 18,000 skin ailments.
2024-06
Autoderm
Teledermatology Platforms and AI-Assisted Pre-Triage - Autoderm
This article discusses how AI pre-triage, specifically Autoderm's API, assists General Practitioners in deciding on referrals for skin concerns and improves the efficiency of teledermatology platforms by ensuring high-quality case submissions.
2026-05
Autoderm
Press - Autoderm
This page aggregates press coverage for Autoderm, highlighting articles about Boots introducing an AI-powered skin tool capable of screening over 70 skin conditions and Autoderm's role in identifying UK melanoma cases.
unknown
Autoderm
AI in virtual primary care: how digital front-door platforms use skin analysis - Autoderm
This article explains how Autoderm's AI skin analysis integrates into virtual primary care platforms to enhance diagnostic accuracy and improve clinical workflows, emphasizing its role as a decision-support tool rather than a replacement for professional input.
2026-04
Autoderm
Autoderm AI has flagged an estimated 5% of UK melanoma cases for clinical review
AUTODERM, a Software as a Medical Device (SaMD) utilizing AI in dermatology, analyzed over 18,000 skin ailments in May, flagging 80 possible melanomas, representing about 5% of UK melanoma cases, through its integration with the myGP app.
2024-06
Autoderm
Clinical evidence - Autoderm
This page provides an overview of Autoderm's clinical evidence portfolio, including peer-reviewed publications, white papers, and real-world deployment data, demonstrating its performance and safety as an AI-powered dermatology decision support API.
2023-08
PMC (PubMed Central)
Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care - PMC
This peer-reviewed study explores the potential of Autoderm, a Class I CE marked DST in dermatology, to improve skin lesion diagnosis in primary care by using machine learning to screen for 44 different skin disease types.
2023-03

Videos

Product demos, reviews, and walkthroughs for Autoderm.

View all on YouTube

Frequently Asked Questions

Autoderm is an AI-powered dermatology decision support API that analyzes smartphone images to screen for over 70 skin conditions, providing results in under one second. It offers a ranked list of possible skin conditions with confidence scores, acting as a tool to enhance decision-making and diagnoses in clinical workflows.
Autoderm's AI-assisted GPs achieved 69% top-1 accuracy against 48% without AI support in a 2024 UK GP study, and 92% of GPs in a Spanish study rated it as a useful decision support tool. While its top-5 suggestion accuracy can reach 93% in controlled settings, real-world top-5 recall is approximately 75%, influenced by image quality.
Other clinical decision support tools for dermatology include VisualDx, which is strong in image-based differential diagnoses with over 32,000 peer-reviewed images. General AI clinical decision support tools like UpToDate Expert AI, ClinicalKey AI, and Isabel Healthcare also offer diagnostic reasoning and evidence-based information, though they may not be dermatology-specific.
Autoderm offers a tiered pricing structure. A free trial provides 5 one-time detections. The 'Basic' plan costs $100 per month for 100 detections, with additional calls billed at $1.00 each. For large-scale deployments, 'Enterprise' plans offer custom pricing and unlimited API volume.
Autoderm is a decision support tool and not a standalone diagnostic system; it provides ranked suggestions rather than definitive diagnoses. Its accuracy can be affected by image quality, and it may have limitations in fully capturing the complexity of all dermatological conditions or generalizing across all regional and genetic factors.
Autoderm has conducted Fitzpatrick17K bias evaluations across 26 conditions and Fitzpatrick Skin Types I-VI, reporting no systemic bias detected. The company has also diversified its dataset in later versions to address earlier identified biases in performance across different skin tones.
Autoderm is designed as an API to be integrated into third-party services, including clinical decision support tools, triage systems, and telemedicine platforms. While the documentation focuses on API integration, AI in dermatology EMRs generally aims to streamline workflows, improve accuracy, and enhance patient care through features like image upload and analysis.

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Suggest an Edit → | Last Verified: 2026-09-11 | First Added: 2026-09-11
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