What question did this study set out to answer?

The research aims to explore the implications of inequitable data on AI training in clinical settings.

January 14, 2026Open Access

An AI-enhanced NHS will rely on clinical guidelines, but what if the evidence is inequitable?

Puntos clave

The research aims to explore the implications of inequitable data on AI training in clinical settings.
Analysis of the UK's 10-Year Health Plan for England
Evaluation of National Institute for Health and Care Excellence guidelines
Assessment of AI's role in personalised medicine
Identified poor consideration of gender in current clinical guidelines
Highlighted potential biases that may arise from inequitable data
Emphasized the importance of equitable training for AI models to ensure patient safety

Resumen

The UK’s new 10-Year Health Plan for England sets out an ambitious agenda for an increasingly digitised and data-driven healthcare system, where artificial intelligence (AI) is expected to play a major role in realising long-term aims to deliver personalised medicine for all. A recent study highlighted poor consideration of sex and gender in National Institute for Health and Care Excellence clinical guidelines, which will be used to train AI models used by the NHS. When AI models are trained on inequitable data, they risk amplifying bias, with harmful implications for patient safety.

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