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JAMA Network Open
|
April 28, 2021
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Ayush Jain, David Way, Vishakha Gupta, et al.
Ophthalmology
|
September 29, 2019
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Sonia Phene, R Carter Dunn, Naama Hammel, et al.
Ophthalmology. Retina
|
January 9, 2022
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study
Xinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Scientific Reports
|
September 2, 2021
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19
Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, et al.
Radiology
|
September 6, 2022
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, et al.
Radiology. Artificial Intelligence
|
March 13, 2024
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, et al.
Communications Medicine
|
October 17, 2022
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Ryan G Gomes, Bellington Vwalika, Chace Lee, et al.
NPJ Digital Medicine
|
July 16, 2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
NPJ Digital Medicine
|
July 26, 2019
Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
Nature
|
January 3, 2020
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
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Search research articles
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Showing results (41-50 of 53) with videos related to
Sort By:
Page
of 6
JAMA Network Open
|
April 28, 2021
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Ayush Jain, David Way, Vishakha Gupta, et al.
Ophthalmology
|
September 29, 2019
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Sonia Phene, R Carter Dunn, Naama Hammel, et al.
Ophthalmology. Retina
|
January 9, 2022
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study
Xinle Liu, Tayyeba K Ali, Preeti Singh, et al.
Scientific Reports
|
September 2, 2021
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19
Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, et al.
Radiology
|
September 6, 2022
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, et al.
Radiology. Artificial Intelligence
|
March 13, 2024
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan
Atilla P Kiraly, Corbin A Cunningham, Ryan Najafi, et al.
Communications Medicine
|
October 17, 2022
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Ryan G Gomes, Bellington Vwalika, Chace Lee, et al.
NPJ Digital Medicine
|
July 16, 2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
NPJ Digital Medicine
|
July 26, 2019
Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Paisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
Nature
|
January 3, 2020
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
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of 6