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Dominic King

Showing results (101-110 of 110) with videos related to

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Alimentary Pharmacology & Therapeutics|March 5, 2022
Assessment of the role of the Edinburgh dysphagia score in referral triage in a national service evaluation of the urgent suspected upper gastrointestinal cancer pathwayUmair Kamran, Dominic King, Matthew Banks, et al.
Nature Medicine|May 20, 2020
Predicting conversion to wet age-related macular degeneration using deep learningJason Yim, Reena Chopra, Terry Spitz, et al.
Nature|August 2, 2019
A clinically applicable approach to continuous prediction of future acute kidney injuryNenad Tomašev, Xavier Glorot, Jack W Rae, et al.
Lancet (London, England)|August 4, 2012
Technologies for global healthPeter Howitt, Ara Darzi, Guang-Zhong Yang, et al.
BMJ Open|June 29, 2021
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocolViknesh Sounderajah, Hutan Ashrafian, Robert M Golub, et al.
Nature Protocols|May 6, 2021
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsNenad Tomašev, Natalie Harris, Sebastien Baur, et al.
Nature|October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature Medicine|August 15, 2018
Clinically applicable deep learning for diagnosis and referral in retinal diseaseJeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, et al.
Nature Medicine|October 12, 2021
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AIViknesh Sounderajah, Hutan Ashrafian, Sherri Rose, et al.
Pageof 11

Showing results (101-110 of 110) with videos related to

Sort By:
Pageof 11
You have reached the last page of results.This site can display upto 110 results.
Alimentary Pharmacology & Therapeutics|March 5, 2022
Assessment of the role of the Edinburgh dysphagia score in referral triage in a national service evaluation of the urgent suspected upper gastrointestinal cancer pathwayUmair Kamran, Dominic King, Matthew Banks, et al.
Nature Medicine|May 20, 2020
Predicting conversion to wet age-related macular degeneration using deep learningJason Yim, Reena Chopra, Terry Spitz, et al.
Nature|August 2, 2019
A clinically applicable approach to continuous prediction of future acute kidney injuryNenad Tomašev, Xavier Glorot, Jack W Rae, et al.
Lancet (London, England)|August 4, 2012
Technologies for global healthPeter Howitt, Ara Darzi, Guang-Zhong Yang, et al.
BMJ Open|June 29, 2021
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocolViknesh Sounderajah, Hutan Ashrafian, Robert M Golub, et al.
Nature Protocols|May 6, 2021
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsNenad Tomašev, Natalie Harris, Sebastien Baur, et al.
Nature|October 15, 2020
Addendum: International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Nature Medicine|August 15, 2018
Clinically applicable deep learning for diagnosis and referral in retinal diseaseJeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, et al.
Nature Medicine|October 12, 2021
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AIViknesh Sounderajah, Hutan Ashrafian, Sherri Rose, et al.
Pageof 11