Alan Karthikesalingam

Alan Karthikesalingam

Alan is a Research Scientist at Google DeepMind working on biomedical AI. He cofounded and leads AMIE and AI co-scientist; and previously Med-PaLM, Med-PaLM-2 and Med-PaLM-Multimodal. His prior work explored supervised and self-supervised AI in radiology, ophthalmology, dermatology and electronic health records, resulting in papers published in Nature and Nature Medicine. He is an honorary Lecturer in Vascular Surgery at Imperial College in London. He completed his MA in Neuroscience and Medical Degree (MBBChir) at the University of Cambridge before 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. Prior to joining Google DeepMind Alan had published over 150 peer-reviewed articles including first-author studies in the New England Journal of Medicine and The Lancet.
Authored Publications
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    Google
Safety principles for medical summarization using generative AI
Dillon Obika
Christopher Kelly
Nicola Ding
Chris Farrance
Praney Mittal
Donny Cheung
Heather Cole-Lewis
Madeleine Elish
Nature Medicine (2024)
Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements
Abbi Ward
Jimmy Li
Julie Wang
Sriram Lakshminarasimhan
Ashley Carrick
Jay Hartford
Pradeep Kumar S
Sunny Virmani
Renee Wong
Margaret Ann Smith
Dawn Siegel
Steven Lin
Justin Ko
JAMA Network Open (2024)
Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM
Brenna Li
Amy Wang
Patricia Strachan
Julie Anne Seguin
Sami Lachgar
Karyn Schroeder
Renee Wong
Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, pp. 10
Towards Conversational Diagnostic AI
Khaled Saab
Jan Freyberg
Ryutaro Tanno
Amy Wang
Brenna Li
Nenad Tomašev
Karan Singhal
Le Hou
Albert Webson
Kavita Kulkarni
Sara Mahdavi
Juro Gottweis
Joelle Barral
Kat Chou
Arxiv (2024) (to appear)
Towards Generalist Biomedical AI
Danny Driess
Andrew Carroll
Chuck Lau
Ryutaro Tanno
Ira Ktena
Basil Mustafa
Aakanksha Chowdhery
Simon Kornblith
Philip Mansfield
Sushant Prakash
Renee Wong
Sunny Virmani
Sara Mahdavi
Bradley Green
Ewa Dominowska
Joelle Barral
Karan Singhal
Pete Florence
NEJM AI (2024)
Generative models improve fairness of medical classifiers under distribution shifts
Ira Ktena
Olivia Wiles
Isabela Albuquerque
Sylvestre-Alvise Rebuffi
Ryutaro Tanno
Danielle Belgrave
Taylan Cemgil
Nature Medicine (2024)