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NYC Tech
Events Weekly
Newsletter! |
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The New Wave Of AI In Healthcare
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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). |
| Cure., 345 Park Ave S, New York
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May 01 (Wed) @ 08:00 AM
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$680 |
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| DETAILS |
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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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