There are a lot of promises that Aritificial Intelligence will revolutionise health care. But what does it take to bring artificial intelligence into real clinical settings? This project studied the complex interdisciplinary practices and collaborations that need to occur so that artificial intelligence applications can successfully make their way from conception to actual clinical practice.

This project was based at UCL Science and Technology Studies Department, and is a collaboration with the University of Sheffield.

Publications:

‘If You’re Going to Trust the Machine, Then That Trust Has Got to Be Based on Something’: Validation and the Co-Constitution of Trust in Developing Artificial Intelligence (AI) for the Early Diagnosis of Pulmonary Hypertension (PH)

(De)troubling transparency: artificial intelligence (AI) for clinical applications

Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH)

Medical AI is as much social as it is technological. Comment in Nature Machine Intelligence.