AI in healthcare - over hyped or under used?
AI in healthcare – over-hyped or underused?
Artificial intelligence (AI) is lauded in sectors from banking to marketing, yet its healthcare applications are comparatively incipient. It has enormous potential but is its use supported by evidence? AI at scale requires “big data”, which is currently fragmented in the NHS. The public mistrust and ethical issues which constrain use of routine data could be even more challenging for AI. What is the framework for evaluation of AI in research and clinical practice? For patients and clinicians, truly intelligent healthcare must strive to be patient-centred as well as data-driven. Is AI ready and is the NHS ready for AI?
About the Speaker:
Dr Amitava Banerjee, Senior Clinical Lecturer in Clinical Data Science, Institute of Health Informatics, UCL Faculty of Population Sciences.
After qualifying from Oxford Medical School, Ami trained as a junior doctor in Oxford, Newcastle, Hull and London. His interest in preventive cardiology and evidence-based medicine led to a Masters in Public Health at Harvard(2004/05), an internship at the World Health Organisation(2005) and DPhil in epidemiology from Oxford University(2010). He was Clinical Lecturer in Cardiovascular Medicine at the University of Birmingham, before taking up the position of Senior Lecturer in Clinical Data Science and Honorary Consultant in Cardiology at UCL in 2015. In addition to training in all aspects of general cardiology, he sub-specialises in heart failure and atrial fibrillation. Ami is a clinical cardiologist with broad academic interests, including the role of digital health technologies and their evaluation, and the evidence base for artificial intelligence in healthcare and education. As well as leading the UCL Medical School “ehealth” curriculum, he is Education Lead at the Health Informatics Unit, Royal College of Physicians. He has Fellowship of the Royal Colleges of Physicians of London and of Edinburgh, the European Cardiology Society, the American Heart Association, the Higher Education Academy and the new Faculty of Clinical Informatics.
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