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Nature Biomedical Engineering
|
March 30, 2022
Detection of signs of disease in external photographs of the eyes via deep learning
Boris Babenko, Akinori Mitani, Ilana Traynis, et al.
Nature Medicine
|
May 29, 2023
Lessons learned from translating AI from development to deployment in healthcare
Kasumi Widner, Sunny Virmani, Jonathan Krause, et al.
Translational Vision Science & Technology
|
December 11, 2023
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study
Ashish Bora, Richa Tiwari, Pinal Bavishi, et al.
Nature Medicine
|
August 14, 2019
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
September 12, 2025
PolyPath: Adapting a Large Multimodal Model for Multislide Pathology Report Generation
Faruk Ahmed, Lin Yang, Tiam Jaroensri, et al.
Translational Vision Science & Technology
|
December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic Retinopathy
Mike Schaekermann, Naama Hammel, Michael Terry, et al.
PLOS Global Public Health
|
June 4, 2024
Predicting cardiovascular disease risk using photoplethysmography and deep learning
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, et al.
JAMA Dermatology
|
April 15, 2026
Consumer Understanding of Skin Concerns With an AI-Powered Informational Tool
Rory Sayres, Ayush Jain, Maya Venkatraman, et al.
Radiology
|
December 4, 2019
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation
Anna Majkowska, Sid Mittal, David F Steiner, et al.
The Lancet. Digital Health
|
March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora, Siva Balasubramanian, Boris Babenko, et al.
Page
of 10
Search research articles
Search
Showing results (41-50 of 100) with videos related to
Sort By:
Page
of 10
Nature Biomedical Engineering
|
March 30, 2022
Detection of signs of disease in external photographs of the eyes via deep learning
Boris Babenko, Akinori Mitani, Ilana Traynis, et al.
Nature Medicine
|
May 29, 2023
Lessons learned from translating AI from development to deployment in healthcare
Kasumi Widner, Sunny Virmani, Jonathan Krause, et al.
Translational Vision Science & Technology
|
December 11, 2023
Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study
Ashish Bora, Richa Tiwari, Pinal Bavishi, et al.
Nature Medicine
|
August 14, 2019
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc
|
September 12, 2025
PolyPath: Adapting a Large Multimodal Model for Multislide Pathology Report Generation
Faruk Ahmed, Lin Yang, Tiam Jaroensri, et al.
Translational Vision Science & Technology
|
December 24, 2019
Remote Tool-Based Adjudication for Grading Diabetic Retinopathy
Mike Schaekermann, Naama Hammel, Michael Terry, et al.
PLOS Global Public Health
|
June 4, 2024
Predicting cardiovascular disease risk using photoplethysmography and deep learning
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, et al.
JAMA Dermatology
|
April 15, 2026
Consumer Understanding of Skin Concerns With an AI-Powered Informational Tool
Rory Sayres, Ayush Jain, Maya Venkatraman, et al.
Radiology
|
December 4, 2019
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation
Anna Majkowska, Sid Mittal, David F Steiner, et al.
The Lancet. Digital Health
|
March 18, 2021
Predicting the risk of developing diabetic retinopathy using deep learning
Ashish Bora, Siva Balasubramanian, Boris Babenko, et al.
Page
of 10