Alan will share lessons learned across Google on a range of projects about the nuances and requirements for success for AI to move from research settings to clinical impact.
Alan is a senior staff clinical research scientist in Google Health who leads the clinical team's translational research efforts, with a particular focus on bridging new ML developments and health-oriented research. He focuses on machine learning for medical imaging across multiple fields: radiology, ophthalmology and dermatology, with interests in AI safety, robustness and data-efficiency for realising real-world clinical impact. Alan is an honorary Lecturer in Vascular Surgery at Imperial College in London where he continues to see patients and supervise PhD students. He did his MA in Neuroscience and Medical Degree (MBBChir) at the University of Cambridge, followed by specialist training in surgery in the London Deanery, where he completed his Membership of the Royal College of Surgeons (MRCS), PhD in Vascular Surgery and was appointed as a NIHR Clinical Lecturer. In 2017 he joined DeepMind's health research team and in 2019 joined Google Health. He has published over 150 peer-reviewed articles, including first-author studies in the New England Journal of Medicine and The Lancet prior to DeepMind/Google, where he subsequently co-authored landmark papers in Nature and Nature Medicine on deep learning systems for mammography, ophthalmology and electronic health records.
This event will be hosted on Zoom:
Please help us plan ahead by registrating for the event at our meetup event-site.
|What?||AI from Code to Clinic|
|Who?||Alan Karthikesalingam, Research Lead at Google Health UK|
|When?||May 18th 2022 @ 4pm|