Artificial Intelligence

Evaluating Pathways for AI Dermatology in Skin Cancer Detection (NHSE White Paper, 2024)

A national white paper assessing clinical performance, safety standards, and post-market surveillance pathways for AI dermatology tools—particularly DERM—in NHS skin cancer detection, demonstrating parity with dermatologist accuracy and outlining frameworks for safe autonomous use.

Evaluation Pathways for AI Dermatology in Skin Cancer Detection: A White Paper (Edge Health)

University of Exeter Final Report (Mar 2025)

An independent service evaluation of DERM use in community diagnostic hubs, showing it is safe, scalable, and acceptable to patients, though its cost-effectiveness versus GP-led care remains uncertain due to variable assumptions about GP diagnostic accuracy.

Evaluation of DERM Skin cancer community diagnostic hub: Streamlining Early Diagnostic Skin Cancer Assessments in the Community using a Class IIa UKCA-Certified Artificial Intelligence Medical Device. Final report – September 2023 to June 2024.

British Association of Dermatologists (BAD) – AI in Dermatology page

Provides position statements, guidance for safe AI use in dermatology (including skin-tone equity). Useful for primary care leads to understand governance, equity and safety when adopting AI tools.

Artificial Intelligence – British Association of Dermatologists – Artificial Intelligence – British Association of Dermatologists

National Institute for Health and Care Excellence (NICE) – Early Value Assessment “AI technologies for assessing and triaging skin lesions”

Formal assessment of tools like DERM and “Moleanalyzer pro” in the NHS context; highlights evidence gaps. Great for primary care to understand what’s been approved/conditionally recommended and where caution lies (e.g., skin-tone data).

https://www.nice.org.uk/guidance/hte24/documents/accessible-version

Teledermatology Roadmap – “A teledermatology roadmap: implementing safe and effective telederm triage pathways”

Practical roadmap (Oct 2023) for planning telederm services and how AI fits into them.

Very relevant for primary care + ICS leads thinking about digital/AI-enabled skin pathways (routine & non-urgent).

https://melanomafocus.org/wp-content/uploads/2023/11/Teledermatology-2023.pdf

6. Service evaluation: “The Use of Artificial Intelligence for Skin Disease Diagnosis in Primary Care Settings” (Escalé‐Besa et al., 2024)

Systematic review of AI use for skin disease diagnosis (including primary care). Gives primary care clinicians and managers evidence base for what works/doesn’t for non-cancer skin conditions—not just SCC pathways.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11202856/

Project: NIHR “Deep learning for effective triaging of skin disease in the NHS” (Award AI_AWARD01901)

UK‐funded project looking at AI models for skin disease triage in NHS primary/secondary interface. Useful as a reference/case-study for ICSs/Trusts considering similar triage models (routine and non-urgent derm).

Deep learning for effective triaging of skin disease in the NHS – NIHR Funding and Awards

8. Article: “Using artificial intelligence technologies to improve skin …”, Jones OT et al., 2025

Explores current approaches of AI in skin pathology especially triage, primary care interface.

Helps primary care/ICS leads understand future direction of AI in skin services (beyond cancer) and where research is heading.

Using artificial intelligence technologies to improve skin cancer detection in primary care – ScienceDirect

NHS England blog: “Exploring the future – artificial intelligence (AI) and dermatology”

Overview of NHS adoption of AI in skin services, performance data, and considerations. Good for communicating with stakeholders (clinicians, commissioners) in primary care about what AI adoption looks like in NHS dermatology.

NHS England » Exploring the future – artificial intelligence (AI) and dermatology