Products

DERM (by Skin Analytics)
Skin Analytics
Clinical Decision Support & Reference
DERM is an AI as a Medical Device (AIaMD) with Class III CE mark that assesses dermoscopic images of skin lesions to provide a suspected diagnosis and referral recommendation, aiming to triage patients and reduce waiting times for skin cancer assessment.

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About Skin Analytics

Skin Analytics is a British health technology company that specializes in AI-powered solutions for skin cancer detection and diagnosis. Their flagship product, DERM, is an autonomous AI system designed to analyze images of skin lesions, triage patients, and potentially reduce waiting times for skin cancer assessments. DERM has achieved significant regulatory milestones, including a UKCA Class IIa mark and, as of February 2025, an EU MDR Class III CE mark for autonomous skin cancer diagnosis. This makes it the world’s first AI medical device legally authorized to independently make clinical decisions on skin cancer without human oversight.

The company’s mission is to make early and accurate diagnosis accessible to everyone, aiming to improve outcomes for skin cancer patients and alleviate pressure on healthcare systems facing dermatologist shortages. Skin Analytics collaborates with the NHS and has deployed DERM in numerous sites across England, demonstrating its ability to reduce unnecessary face-to-face dermatology appointments by up to 95% and safely discharge a significant percentage of urgent referrals. The AI has shown high accuracy in ruling out melanoma, with a negative predictive value of 99.7% to 99.9%. Beyond skin cancer, Skin Analytics plans to expand its AI platform to cover all dermatology concerns and to scale its services internationally to markets experiencing similar specialist shortages, including Europe, Australia, and the US.

Focus Areas

AI in dermatology skin cancer detection teledermatology machine learning digital health

Business Intelligence

Key InvestorsHoxton Ventures, Nesta Impact Investments, Intrepid Growth Partners, Tech Nation Group, Arvo Venture Capital, Impact Planet Ventures, Social Tech Trust, RYSE Asset Management, Wayra
PartnershipsBolton NHS Foundation Trust, Human Bytes (Nordic countries), Freedom Health, Affidea (Europe), Together First CIC (Barking & Dagenham), Bridgewater Community Healthcare NHS Foundation Trust, Warrington and Halton Teaching Hospitals NHS Foundation Trust, Bupa, Tameside and Glossop Integrated Care NHS Foundation Trust, Northern Care Alliance NHS Foundation Trust, Chelsea and Westminster Hospital NHS Foundation Trust, Vitality Health
Acquisitionsunknown
TechnologyCloud-based AI medical device (DERM) for analyzing dermoscopic images, integrated into a custom teledermatology platform.
FDA Clearancesunknown cleared products (estimated)

What Physicians Need to Know

Specialization
Skin Analytics specializes in AI-powered solutions for early and accurate skin cancer detection, teledermatology, and digital health. Their core product, DERM, is an AI as a Medical Device (AIaMD) designed to triage skin lesions and support referral decisions.
Key Differentiators
Skin Analytics stands out as the world's first autonomous AI for cancer detection, holding the highest regulatory classification (EU MDR Class III CE mark) for AI in medicine, allowing for clinical decisions without human oversight. It is also the only AI medical device recommended by NICE for autonomous skin cancer triage in the NHS. Their technology, DERM, has been extensively used within the NHS, assessing over 230,000 patients and detecting more than 20,000 cancers.
Technology Stack
The company leverages deep learning and AI algorithms trained on a large dataset of skin cancer images to analyze dermoscopic images of skin lesions. Their DERM platform can be used with a smartphone and a dermoscopic lens attachment to capture clinical-quality images. They also offer DERM Zero, which enables autonomous clinical-grade skin cancer assessments using a standard smartphone without specialist equipment.
Impact & Outcomes
DERM has demonstrated a 99.9% Negative Predictive Value (NPV) for ruling out melanoma and a high sensitivity for detecting various skin cancers (98% for all skin cancer, 97% for melanoma, 98% for invasive melanoma, SCC, and BCC). It has helped NHS organizations avoid up to 95% of face-to-face urgent suspected cancer referrals in secondary care and can safely discharge 30-55% of benign cases without specialist oversight, freeing up consultant time.
Physician Tip

For physicians, Skin Analytics' DERM offers a robust tool for efficient and accurate skin cancer triage, reducing unnecessary referrals and freeing up specialist capacity for higher-risk cases. The autonomous nature of DERM, backed by Class III CE mark and NICE recommendation, provides a high level of confidence in its diagnostic capabilities. The ability to use standard smartphones with DERM Zero can significantly improve patient access and streamline workflows, especially in primary care and community settings. The platform's continuous post-market surveillance and transparent accuracy reporting further ensure its reliability and safety in clinical practice.

Skin Analytics' DERM platform is designed to be integrated into existing healthcare pathways, including teledermatology services. They have established partnerships with organizations like Affidea for broader European implementation, indicating their adaptability for integration into various clinical settings and health systems. While specific API details for direct EHR/EMR integration are not explicitly detailed for DERM, other AI skin analysis platforms often offer API and SDK solutions for seamless integration into health and beauty apps or telemedicine platforms.

Products by Skin Analytics

1 product in the directory

DERM (by Skin Analytics)
Skin Analytics
Clinical Decision Support & Reference
DERM is an AI as a Medical Device (AIaMD) with Class III CE mark that assesses dermoscopic images of skin lesions to provide a suspected diagnosis and referral recommendation, aiming to triage patients and reduce waiting times for skin cancer assessment.

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Press & Coverage

Digital Health
Skin Analytics raises u00a315m to expand AI skin cancer detection tech
Skin Analytics secured u00a315 million in Series B funding to expand its AI skin cancer technology, DERM, to key markets with dermatologist shortages, including Europe, Australia, and the US. The funding will also help the company launch products covering all dermatology concerns.
2025-04
PR Newswire
The AI from Skin Analytics that caught 20,000 cancers in the UK is now certified for use on a standard smartphone
Skin Analytics' DERM Zero, a Class III regulatory cleared AI, now allows autonomous clinical decisions on skin cancer using a standard smartphone, removing the need for specialist equipment or hospital appointments. This technology has assessed over 230,000 NHS patients and detected more than 20,000 cancers.
2026-06
Skin Analytics
DERM makes medical history as world's first autonomous skin cancer detection system is approved for clinical decisions in Europe
Skin Analytics' DERM, an autonomous AI skin cancer detection system, received Class III CE marking under the European Medical Device Regulation (MDR) 2017/745, making it the world's first legally authorized AI to independently make clinical decisions on skin cancer in Europe. DERM boasts a 99.8% accuracy rate in ruling out cancer, surpassing dermatologists' 98.9%.
2025-02
NICE
AI skin cancer detection system gets green light for conditional NHS use - NICE
NICE has conditionally recommended Skin Analytics' DERM for use in the NHS for three years, while further evidence is collected, to efficiently triage patients with suspicious skin lesions and potentially halve referrals to dermatologists. DERM analyzes images from smartphones with dermoscopic lens attachments to assess and triage lesions.
2025-05
British Journal of Dermatology
Real-world effectiveness of artificial-intelligence-assisted lesion triage on cancer waiting times | British Journal of Dermatology | Oxford Academic
A study in the British Journal of Dermatology investigated the real-world effectiveness of Skin Analytics' DERM tool in reducing cancer waiting times within the NHS. The article highlights DERM's approval as a Class III medical device for skin cancer triage and assessment.
2026-06
NCBI (National Center for Biotechnology Information)
Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments - NCBI
This project reviewed the effectiveness of AI technologies, including Skin Analytics' DERM, in reducing the burden on dermatology services and identifying skin cancer. The evidence suggests DERM could potentially halve referrals to specialists while maintaining high accuracy in detecting skin cancers.
2025-04
Frontiers in Medicine
Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance - Frontiers
This paper reports on the prospective real-world performance of Skin Analytics' DERM, an AI as a Medical Device, deployed within skin cancer pathways at two NHS hospitals. The study found very high sensitivity for detecting melanoma and malignancy, with DERM identifying a significant percentage of cases eligible for discharge.
2024-01
New Market Pitch
AI skin cancer detection: which startup is ahead?
Skin Analytics leads in real-world AI skin cancer assessment, having assessed over 230,000 NHS patients and identified more than 20,000 cancers with its DERM technology. The company holds a European Class III CE mark allowing autonomous skin cancer decisions.
2026-07

Frequently Asked Questions

Skin Analytics employs a deep learning AI known as DERM, which analyzes dermatoscopic images to assess the risk of skin cancer. This technology is designed to be integrated into existing teledermatology pathways, allowing healthcare professionals to upload images for AI analysis and receive a risk assessment to aid in their diagnostic decisions.
Skin Analytics' AI has been rigorously tested and validated through extensive clinical trials and real-world data, demonstrating high sensitivity and specificity in detecting melanoma and other skin cancers. The company publishes its validation studies in peer-reviewed journals, providing transparency on its performance and accuracy.
Skin Analytics' products hold the necessary regulatory clearances, including CE Mark in Europe, and are actively pursuing further clearances in other major markets. The company adheres to stringent data privacy regulations like GDPR and HIPAA, implementing robust security measures to protect patient data throughout the entire process.
Skin Analytics typically offers a subscription-based pricing model, which can vary depending on the scale of implementation and specific organizational needs. They provide comprehensive support, including initial training for clinical staff, technical integration assistance, and ongoing customer service to ensure seamless adoption and utilization of their platform.
Skin Analytics has established partnerships with numerous NHS trusts and private healthcare providers, as well as collaborating with academic institutions for research and development. The company is committed to advancing AI in dermatology, with a vision to become a global leader in early skin cancer detection, demonstrating strong financial backing and a clear growth strategy.

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