
In this episode, Dean Mawson sits down with health tech innovator Shamoun Ahmad, founder of Medeskin AI, to explore the intersection of artificial intelligence, dermatology, and NHS transformation. With a vision rooted in accessible, early-stage diagnosis, Shamoun shares the journey behind Medeskin AI and its role in reshaping skin health services.
We discuss how Medeskin AI aligns with the NHS 10-Year Plan, supporting ambitions to become the most AI-enabled healthcare system in the world. From AI-powered skin cancer pathways to potential inclusion in the future NHS “HealthStore” procurement framework, Shamoun outlines how Medeskin aims to scale nationally and equitably.
The episode delves into the ethics and utility of Ambient Voice Transcription (AVT) and Generative AI in clinical settings, and how technologies like large language models (LLMs) can enhance evidence synthesis, health technology assessment, and even clinical trial design. Shamoun reflects on Medeskin’s use of these tools to validate diagnostics while reducing clinician burden.
We explore Medeskin’s unique workflow—from patient photo uploads to instant GP notifications and AI-driven triage—and how this model supports underserved communities, improves dermatology access, and aligns with key NHS use cases, such as GP triage, dermatology referrals, and two-week-wait target compliance.
Trust and transparency take centre stage as Shamoun explains how Medeskin navigates NHS Information Governance (IG) and GDPR, ensuring data control, explainability, and fairness in every AI-driven decision. The company’s adoption of FUTURE-AI principles (Fairness, Transparency, Robustness, etc.) reflects a strong ethical commitment.
This episode is essential listening for anyone navigating AI in healthcare, particularly where innovation meets clinical need, ethical design, and system-wide adoption.
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