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Mustafa Suleyman

Showing results (1-10 of 12) with videos related to

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Nature|March 18, 2026
AI is programmed to hijack human empathy - we must resist thatMustafa Suleyman
BMC Medicine|October 31, 2019
Key challenges for delivering clinical impact with artificial intelligenceChristopher J Kelly, Alan Karthikesalingam, Mustafa Suleyman, et al.
Journal of Medical Internet Research|August 2, 2019
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care ProfessionalsAlistair Connell, Georgia Black, Hugh Montgomery, et al.
NPJ Digital Medicine|August 10, 2019
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissionsAlistair Connell, Hugh Montgomery, Peter Martin, et al.
Journal of Medical Internet Research|August 2, 2019
Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care CostsAlistair Connell, Rosalind Raine, Peter Martin, 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.
Journal of Medical Internet Research|July 13, 2021
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation StudyStanislav Nikolov, Sam Blackwell, Alexei Zverovitch, 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|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature|March 18, 2026
AI is programmed to hijack human empathy - we must resist thatMustafa Suleyman
BMC Medicine|October 31, 2019
Key challenges for delivering clinical impact with artificial intelligenceChristopher J Kelly, Alan Karthikesalingam, Mustafa Suleyman, et al.
Journal of Medical Internet Research|August 2, 2019
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care ProfessionalsAlistair Connell, Georgia Black, Hugh Montgomery, et al.
NPJ Digital Medicine|August 10, 2019
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissionsAlistair Connell, Hugh Montgomery, Peter Martin, et al.
Journal of Medical Internet Research|August 2, 2019
Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care CostsAlistair Connell, Rosalind Raine, Peter Martin, 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.
Journal of Medical Internet Research|July 13, 2021
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation StudyStanislav Nikolov, Sam Blackwell, Alexei Zverovitch, 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|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Pageof 2