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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    Quantifying urban park use in the USA at scale: empirical estimates of realised park usage using smartphone location data
    Michael T Young
    Swapnil Vispute
    Stylianos Serghiou
    Akim Kumok
    Yash Shah
    Kevin J. Lane
    Flannery Black-Ingersoll
    Paige Brochu
    Monica Bharel
    Sarah Skenazy
    Shailesh Bavadekar
    Mansi Kansal
    Evgeniy Gabrilovich
    Gregory A. Wellenius
    Lancet Planetary Health (2024)
    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)
    Understanding metric-related pitfalls in image analysis validation
    Annika Reinke
    Lena Maier-Hein
    Paul Jager
    Shravya Shetty
    Understanding Metrics Workgroup
    Nature Methods (2024)
    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)
    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)
    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)
    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)