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Shravya Shetty

Showing results (11-20 of 30) with videos related to

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Radiology|July 19, 2022
Simplified Transfer Learning for Chest Radiography Models Using Less DataAndrew B Sellergren, Christina Chen, Zaid Nabulsi, et al.
Nature Communications|June 22, 2026
Estimating high-resolution albedo for urban applicationsDavid Fork, Elizabeth J Wesley, Salil Banerjee, et al.
The Lancet. Digital Health|January 26, 2024
An intentional approach to managing bias in general purpose embedding modelsWei-Hung Weng, Andrew Sellergen, Atilla P Kiraly, et al.
NEJM AI|January 17, 2025
Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray AbnormalitiesSahar Kazemzadeh, Atilla P Kiraly, Zaid Nabulsi, 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-19Zaid 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 RadiologistsSahar Kazemzadeh, Jin Yu, Shahar Jamshy, et al.
JAMA Network Open|July 9, 2026
Generalization of AI-Based Gestational Age Assessment Using Blind Sweep UltrasonographyAngelica Willis, Chace Lee, Justin Krogue, et al.
Radiology. Artificial Intelligence|March 13, 2024
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and JapanAtilla P Kiraly, Corbin A Cunningham, Ryan Najafi, et al.
Nature Medicine|July 17, 2023
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to cliniciansKrishnamurthy Dj Dvijotham, Jim Winkens, Melih Barsbey, et al.
Nature Medicine|November 7, 2024
Collaboration between clinicians and vision-language models in radiology report generationRyutaro Tanno, David G T Barrett, Andrew Sellergren, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Radiology|July 19, 2022
Simplified Transfer Learning for Chest Radiography Models Using Less DataAndrew B Sellergren, Christina Chen, Zaid Nabulsi, et al.
Nature Communications|June 22, 2026
Estimating high-resolution albedo for urban applicationsDavid Fork, Elizabeth J Wesley, Salil Banerjee, et al.
The Lancet. Digital Health|January 26, 2024
An intentional approach to managing bias in general purpose embedding modelsWei-Hung Weng, Andrew Sellergen, Atilla P Kiraly, et al.
NEJM AI|January 17, 2025
Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray AbnormalitiesSahar Kazemzadeh, Atilla P Kiraly, Zaid Nabulsi, 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-19Zaid 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 RadiologistsSahar Kazemzadeh, Jin Yu, Shahar Jamshy, et al.
JAMA Network Open|July 9, 2026
Generalization of AI-Based Gestational Age Assessment Using Blind Sweep UltrasonographyAngelica Willis, Chace Lee, Justin Krogue, et al.
Radiology. Artificial Intelligence|March 13, 2024
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and JapanAtilla P Kiraly, Corbin A Cunningham, Ryan Najafi, et al.
Nature Medicine|July 17, 2023
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to cliniciansKrishnamurthy Dj Dvijotham, Jim Winkens, Melih Barsbey, et al.
Nature Medicine|November 7, 2024
Collaboration between clinicians and vision-language models in radiology report generationRyutaro Tanno, David G T Barrett, Andrew Sellergren, et al.
Pageof 3