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Medical Imaging AI: Where do we go from here?

03may12:00 pm1:00 pmMedical Imaging AI: Where do we go from here?

Time

(Tuesday) 12:00 pm - 1:00 pm(GMT-04:00) View in my time

Event Details

Duke AI Health Spark Seminar Series
Medical Imaging AI: Where do we go from here?
Tuesday, May 3rd, 2022, 12:00-1:00 PM (Eastern time)
Virtual seminar via Zoom

 

Register Here

 

Presented by:
Pranav Rajpurkar, PhD; Assistant Professor of Biomedical Informatics, Harvard Medical School
with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University

Can AI safely automate medical decision-making tasks to improve patient outcomes? In this talk, the presenters will share the challenges in the development and translation of medical AI, and how they are being addressed through a blend of innovation in algorithm development, dataset curation, and implementation design. They will first talk about self-supervised learning methods for medical image classification that leverage large unlabeled datasets to reduce the number of manual annotations required for expert-level performance. Then, they will discuss open benchmarks that can help the community transparently measure advancements in generalizability of algorithms to new geographies, patient populations, and clinical settings. Third, they will share insights from studies that investigate how to optimize human-AI collaboration in the context of clinical workflows and deployment settings. Altogether, this talk will cover key ways in which we can realize the potential of medical AI to make healthcare more accurate,​ efficient, and accessible for patients worldwide. https://www.nature.com/articles/s41591-021-01614-0

This session is a part of the monthly seminar series organized by Spark: Duke AI Health’s initiative for medical imaging. The seminar will highlight outstanding work in medical imaging at Duke and beyond. The seminar recordings will be publicly available.

The Duke Spark initiative focuses on development, validation, and clinical implementation of artificial intelligence algorithms for broadly understood medical imaging by bringing together the technical and clinical expertise across Duke campus. For more information, please contact Dr. Maciej Mazurowski (maciej.mazurowski@duke.edu).

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