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Johan Ordish

Showing results (1-10 of 13) with videos related to

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Journal of Medical Internet Research|August 14, 2020
COVID-19 Research: Navigating the European General Data Protection RegulationRegina Becker, Adrian Thorogood, Johan Ordish, et al.
Human Mutation|October 13, 2018
Genetic database software as medical devicesAdrian Thorogood, Seydina B Touré, Johan Ordish, et al.
Learning Health Systems|October 20, 2023
Which computable biomedical knowledge objects will be regulated? Results of a UK workshop discussing the regulation of knowledge libraries and software as a medical deviceJeremy C Wyatt, Philip Scott, Johan Ordish, et al.
The Lancet. Digital Health|October 25, 2024
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic reviewJoseph E Alderman, Maria Charalambides, Gagandeep Sachdeva, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Nature Medicine|August 12, 2022
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
BMJ (Clinical Research Ed.)|May 18, 2022
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine|May 18, 2022
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine|September 26, 2022
Tackling bias in AI health datasets through the STANDING Together initiativeShaswath Ganapathi, Jo Palmer, Joseph E Alderman, et al.
BMJ (Clinical Research Ed.)|April 16, 2024
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methodsGary S Collins, Karel G M Moons, Paula Dhiman, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Medical Internet Research|August 14, 2020
COVID-19 Research: Navigating the European General Data Protection RegulationRegina Becker, Adrian Thorogood, Johan Ordish, et al.
Human Mutation|October 13, 2018
Genetic database software as medical devicesAdrian Thorogood, Seydina B Touré, Johan Ordish, et al.
Learning Health Systems|October 20, 2023
Which computable biomedical knowledge objects will be regulated? Results of a UK workshop discussing the regulation of knowledge libraries and software as a medical deviceJeremy C Wyatt, Philip Scott, Johan Ordish, et al.
The Lancet. Digital Health|October 25, 2024
Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic reviewJoseph E Alderman, Maria Charalambides, Gagandeep Sachdeva, et al.
JACC. Advances|March 28, 2025
Diversity and Inclusion Within Datasets in Heart Failure: A Systematic ReviewElinor Laws, Maria Charalambides, Sonam Vadera, et al.
Nature Medicine|August 12, 2022
Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
BMJ (Clinical Research Ed.)|May 18, 2022
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine|May 18, 2022
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AIBaptiste Vasey, Myura Nagendran, Bruce Campbell, et al.
Nature Medicine|September 26, 2022
Tackling bias in AI health datasets through the STANDING Together initiativeShaswath Ganapathi, Jo Palmer, Joseph E Alderman, et al.
BMJ (Clinical Research Ed.)|April 16, 2024
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methodsGary S Collins, Karel G M Moons, Paula Dhiman, et al.
Pageof 2