Medicine and Health

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

A. Pyrros, S. M. Borstelmann, et al.

Discover how a deep learning model, developed by a team of expert researchers, including Ayis Pyrros and Stephen M. Borstelmann, is transforming diabetes screening by analyzing chest radiographs and electronic health records. With an impressive ROC AUC of 0.84, this innovative approach could redefine type 2 diabetes detection and enhance patient outcomes.

00:00

Playback language: English

Related Publications

Explore these studies to deepen your understanding of the subject.

Medicine and Health

Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning

E. K. Yenice, C. Kara, et al.

Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

Engineering and Technology

Unlocking the potential: analyzing 3D microstructure of small-scale cement samples from space using deep learning

V. Saseendran, N. Yamamoto, et al.

Medicine and Health

COVID-19 Prognosis from Chest X-ray Images by using Deep Learning Approaches: A Next Generation Diagnostic Tool

M. Pal, S. Parij, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny