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Automated Machine Learning for Predicting DR Progression From Ultra-Widefield Retinal Images

Automated Machine Learning for Predicting DR Progression From Ultra-Widefield Retinal Images

FromJAMA Ophthalmology Author Interviews


Automated Machine Learning for Predicting DR Progression From Ultra-Widefield Retinal Images

FromJAMA Ophthalmology Author Interviews

ratings:
Length:
14 minutes
Released:
Feb 8, 2024
Format:
Podcast episode

Description

Interview with Paolo S. Silva, MD, and Jennifer K. Sun, MD, MPH, authors Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images. Hosted by Neil M. Bressler, MD. Related Content: Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images
Released:
Feb 8, 2024
Format:
Podcast episode

Titles in the series (100)

Interviews with authors of articles from JAMA Ophthalmology. JAMA Ophthalmology, published continuously since 1869, is an international, peer-reviewed ophthalmology and visual science journal. Covering research, science, & clinical practice in ophthalmology and vision science.