Bridging the equity gap towards inclusive artificial intelligence in healthcare diagnostics
See Chai Carol Chan, Ana Luísa Neves, Azeem Majeed, A. Aldo Faisal
Abstract
Rapid advances in artificial intelligence (AI) are paving the way for innovations in how healthcare is delivered.AI technologies have shown remarkable potential in outperforming humans in diagnosing a range of clinical conditions including cancer, diabetes, cardiac arrhythmias, and Alzheimer's Disease. 1 To date, the UK Department of Health and Social Care has invested £123 million directly into 86 AI technologies and have allocated an additional £21m in October 2023 to 64 NHS hospital trusts in England, aiming to streamline diagnostic procedures, enhance predictive analytics, and ultimately improve healthcare delivery and patient outcomes. 2In addition, AI can help democratise access to world-leading expertise distilled into algorithms, and bring underserved, often rural communities, health and care support that would be difficult to realise otherwise.