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Theodoros Evgeniou

Showing results (1-10 of 11) with videos related to

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NPJ Digital Medicine|October 2, 2024
Algorithmovigilance, lessons from pharmacovigilanceAlan Balendran, Mehdi Benchoufi, Theodoros Evgeniou, et al.
NPJ Digital Medicine|April 15, 2020
The need for a system view to regulate artificial intelligence/machine learning-based software as medical deviceSara Gerke, Boris Babic, Theodoros Evgeniou, et al.
Science (New York, N.Y.)|August 26, 2021
Beware explanations from AI in health careBoris Babic, Sara Gerke, Theodoros Evgeniou, et al.
Science (New York, N.Y.)|December 7, 2019
Algorithms on regulatory lockdown in medicineBoris Babic, Sara Gerke, Theodoros Evgeniou, et al.
The Lancet. Digital Health|December 17, 2020
The European artificial intelligence strategy: implications and challenges for digital healthI Glenn Cohen, Theodoros Evgeniou, Sara Gerke, et al.
Production and Operations Management|May 23, 2022
Pandemic lockdown, isolation, and exit policies based on machine learning predictionsTheodoros Evgeniou, Mathilde Fekom, Anton Ovchinnikov, et al.
NPJ Digital Medicine|August 25, 2023
How AI can learn from the law: putting humans in the loop only on appealI Glenn Cohen, Boris Babic, Sara Gerke, et al.
NPJ Science of Learning|September 13, 2024
Grit and academic resilience during the COVID-19 pandemicDaniel L Chen, Seda Ertac, Theodoros Evgeniou, et al.
NPJ Digital Medicine|January 17, 2025
A scoping review of robustness concepts for machine learning in healthcareAlan Balendran, Céline Beji, Florie Bouvier, et al.
Neuroimage|August 22, 2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET dataJorge Samper-González, Ninon Burgos, Simona Bottani, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
NPJ Digital Medicine|October 2, 2024
Algorithmovigilance, lessons from pharmacovigilanceAlan Balendran, Mehdi Benchoufi, Theodoros Evgeniou, et al.
NPJ Digital Medicine|April 15, 2020
The need for a system view to regulate artificial intelligence/machine learning-based software as medical deviceSara Gerke, Boris Babic, Theodoros Evgeniou, et al.
Science (New York, N.Y.)|August 26, 2021
Beware explanations from AI in health careBoris Babic, Sara Gerke, Theodoros Evgeniou, et al.
Science (New York, N.Y.)|December 7, 2019
Algorithms on regulatory lockdown in medicineBoris Babic, Sara Gerke, Theodoros Evgeniou, et al.
The Lancet. Digital Health|December 17, 2020
The European artificial intelligence strategy: implications and challenges for digital healthI Glenn Cohen, Theodoros Evgeniou, Sara Gerke, et al.
Production and Operations Management|May 23, 2022
Pandemic lockdown, isolation, and exit policies based on machine learning predictionsTheodoros Evgeniou, Mathilde Fekom, Anton Ovchinnikov, et al.
NPJ Digital Medicine|August 25, 2023
How AI can learn from the law: putting humans in the loop only on appealI Glenn Cohen, Boris Babic, Sara Gerke, et al.
NPJ Science of Learning|September 13, 2024
Grit and academic resilience during the COVID-19 pandemicDaniel L Chen, Seda Ertac, Theodoros Evgeniou, et al.
NPJ Digital Medicine|January 17, 2025
A scoping review of robustness concepts for machine learning in healthcareAlan Balendran, Céline Beji, Florie Bouvier, et al.
Neuroimage|August 22, 2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET dataJorge Samper-González, Ninon Burgos, Simona Bottani, et al.
Pageof 2