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Stanford University

Disease Prediction Using Medical Imaging and Deep Learning - Summer 2022

Stanford University via YouTube

Overview

Explore opportunistic disease prediction techniques using existing medical imaging and deep learning in this comprehensive lecture by Dr. Akshay Chaudhari, Assistant Professor of Radiology and Biomedical Data Science at Stanford University. Delve into cutting-edge approaches for leveraging already-acquired medical images to predict and detect various diseases through advanced deep learning algorithms. Gain insights into the intersection of radiology, data science, and artificial intelligence as Dr. Chaudhari discusses the potential of these technologies to revolutionize early disease detection and improve patient outcomes. Learn about the challenges and opportunities in implementing these innovative methods in clinical practice and understand their implications for the future of healthcare and personalized medicine.

Syllabus

Stanford Radiology: PHIND (Summer) 2022, Chaudhari: Disease Prediction using Imaging & Deep Learning

Taught by

Stanford Radiology

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