Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Disease Prediction Using Medical Imaging and Deep Learning - Summer 2022

Stanford University via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Reviews

Start your review of Disease Prediction Using Medical Imaging and Deep Learning - Summer 2022

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.