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With Michael Hasselberg (Chief Digital Health Officer, Univ. of Rochester), Sara Berger (Scientist, IBM Research), Rumi Chunara (Center for Health Data Science @ NYU), Deborah Estrin (Weill Cornell Medicine), Emily Hadley (RTI Int'l Center for Data Science).
Wed, May 01, 2024 @ 08:00 AM   $680   Cure., 345 Park Ave S
 
   
 
 
              

      
 
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In the rapidly evolving landscape of modern healthcare, novel digital health solutions featuring machine learning & artificial intelligence (AI) tools are transforming research, diagnostics, therapeutics, & patient & healthcare provider experiences. Staying informed of the latest technological advances can be challenging due to the speed of innovation.

In collaboration with the Academy, the Windreich Department of Artificial Intelligence & Human Health at the Icahn School of Medicine at Mount Sinai will showcase the latest advances in AI- & data-driven technologies in healthcare in the second annual symposium.

At The New Wave of AI in Healthcare 2024, leaders in the field will deliver cutting-edge keynote & plenary lectures, alongside poster presentations from early career investigators & students, on the latest innovations in the field.


The symposium will also provide ample networking opportunities that pave the way for collaboration & discovery. Researchers across disciplines & sectors can advance their work in a contemporary venue in the heart of NYC, designed to foster dialogue & collaboration, propelling the field forward.

Sign up today - registrations for last year's symposium sold out! We invite abstract submissions for poster presentations, short poster pitches, & travel fellowship awards for early-career investigators. Submit an abstract & be part of a dynamic symposium at the forefront of AI in healthcare research. The deadline for submission is February 27, 2024.

Presentation topics include
Large-scale Foundation Models for Healthcare
AI Ethics & Governance
Next-Generation Deep Learning for Healthcare
Digital Health
Machine Learning in Data-Driven Research in Healthcare
 
 
 
 
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