Position statement on clinical evaluation of imaging AI
Cathal McCague, Katherine Mackay, Ceilidh Welsh, Alex Constantinou, Rajesh Jena, Mireia Crispin‐Ortuzar, Cathal McCague, Katherine Mackay, Ceilidh Welsh, Alex Constantinou, Marianne Aznar, Mark Bailey, Adrian P. Brady, James D. Brenton, Thomas Buddenkotte, Dominique‐Laurent Couturier, Lorena Escudero Sanchez, Fiona J. Gilbert, Martin J. Graves, Teresa Guerrero Urbano, Geoff Hall, Patrick McLaughlin, William McGough, Stéphanie Nougaret, Ozan Öktem, Stefania Rizzo, Leonardo Rundo, Evis Sala, Carola‐Bibiane Schönlieb, Eliana Vásquez Osorio, Ramona Woitek, Kieran Zucker, Rajesh Jena, Mireia Crispin‐Ortuzar
Abstract
Governments and medical associations across the world, including the US Food and Drug Administration, the UK Medicines and Healthcare products Regulatory Agency, the Royal College of Radiologists, and the European Society of Radiology, believe the advent of health technologies associated with artificial intelligence (AI) will be the most radical change in how medical care is delivered in our lifetime.1,2 At a time of unprecedented demand for medical imaging, when hospitals struggle with staffing shortages, AI tools could provide a solution.