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Russell Pearson

Showing results (11-20 of 18) with videos related to

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NPJ Digital Medicine|February 11, 2026
Current challenges and the way forwards for regulatory databases of artificial intelligence as a medical deviceAriel Yuhan Ong, Aditya U Kale, Joe Antoun, et al.
Journal of the American Chemical Society|September 5, 2013
Nile Blue-based nanosized pH sensors for simultaneous far-red and near-infrared live bioimagingJeppe Madsen, Irene Canton, Nicholas J Warren, et al.
JMIR Research Protocols|June 28, 2024
Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic ReviewAditya U Kale, Henry David Jeffry Hogg, Russell Pearson, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|June 28, 2018
Continence technologies whitepaper: Informing new engineering science researchPete Culmer, Ali Alazmani, Mike Bryant, et al.
JMIR Research Protocols|July 11, 2024
AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic ReviewAditya U Kale, Riya Dattani, Ashley Tabansi, et al.
JMIR Research Protocols|March 27, 2024
Target Product Profile for a Machine Learning-Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods StudyTrystan Macdonald, Jacqueline Dinnes, Gregory Maniatopoulos, 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.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
NPJ Digital Medicine|February 11, 2026
Current challenges and the way forwards for regulatory databases of artificial intelligence as a medical deviceAriel Yuhan Ong, Aditya U Kale, Joe Antoun, et al.
Journal of the American Chemical Society|September 5, 2013
Nile Blue-based nanosized pH sensors for simultaneous far-red and near-infrared live bioimagingJeppe Madsen, Irene Canton, Nicholas J Warren, et al.
JMIR Research Protocols|June 28, 2024
Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic ReviewAditya U Kale, Henry David Jeffry Hogg, Russell Pearson, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|June 28, 2018
Continence technologies whitepaper: Informing new engineering science researchPete Culmer, Ali Alazmani, Mike Bryant, et al.
JMIR Research Protocols|July 11, 2024
AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic ReviewAditya U Kale, Riya Dattani, Ashley Tabansi, et al.
JMIR Research Protocols|March 27, 2024
Target Product Profile for a Machine Learning-Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods StudyTrystan Macdonald, Jacqueline Dinnes, Gregory Maniatopoulos, 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.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
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