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Showing results (71-80 of 101) with videos related to

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Nature Medicine|May 20, 2020
A deep learning system for differential diagnosis of skin diseasesYuan Liu, Ayush Jain, Clara Eng, 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.
Communications Medicine|May 23, 2022
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithmsSean Bae, Silviu Borac, Yunus Emre, 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.
NPJ Digital Medicine|April 20, 2021
Interpretable survival prediction for colorectal cancer using deep learningEllery Wulczyn, David F Steiner, Melissa Moran, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
Communications Medicine|May 23, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingEllery Wulczyn, Kunal Nagpal, Matthew Symonds, et al.
Nature|April 9, 2025
Towards conversational diagnostic artificial intelligenceTao Tu, Mike Schaekermann, Anil Palepu, et al.
NPJ Breast Cancer|October 3, 2022
Deep learning models for histologic grading of breast cancer and association with disease prognosisRonnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, et al.
Annals of Botany|July 16, 2025
Linking root length and surface area to yield: variety-specific root plasticity in winter wheat across contrasting European environmentsF Durand-Maniclas, H Heinemann, F Seidel, et al.
Pageof 11

Showing results (71-80 of 101) with videos related to

Sort By:
Pageof 11
Nature Medicine|May 20, 2020
A deep learning system for differential diagnosis of skin diseasesYuan Liu, Ayush Jain, Clara Eng, 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.
Communications Medicine|May 23, 2022
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithmsSean Bae, Silviu Borac, Yunus Emre, 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.
NPJ Digital Medicine|April 20, 2021
Interpretable survival prediction for colorectal cancer using deep learningEllery Wulczyn, David F Steiner, Melissa Moran, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
Communications Medicine|May 23, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingEllery Wulczyn, Kunal Nagpal, Matthew Symonds, et al.
Nature|April 9, 2025
Towards conversational diagnostic artificial intelligenceTao Tu, Mike Schaekermann, Anil Palepu, et al.
NPJ Breast Cancer|October 3, 2022
Deep learning models for histologic grading of breast cancer and association with disease prognosisRonnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, et al.
Annals of Botany|July 16, 2025
Linking root length and surface area to yield: variety-specific root plasticity in winter wheat across contrasting European environmentsF Durand-Maniclas, H Heinemann, F Seidel, et al.
Pageof 11