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David S. Melnick

Researcher at Northwestern University

Publications -  8
Citations -  1461

David S. Melnick is an academic researcher from Northwestern University. The author has contributed to research in topics: Breast cancer screening & Medicine. The author has an hindex of 2, co-authored 6 publications receiving 719 citations.

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Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases.

TL;DR: An AI system to classify CXRs as normal or abnormal and the results suggest that the AI system trained using a large dataset containing a diverse array of CXR abnormalities generalizes to new patient populations and unseen diseases.
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Simplified Transfer Learning for Chest Radiography Models Using Less Data.

TL;DR: Supervised contrastive learning enabled performance comparable to state-of-the-art deep learning models in multiple clinical tasks by using as few as 45 images and is a promising method for predictive modeling with use of small data sets and for predicting outcomes in shifting patient populations.