Medical Device Adverse Events, Errors, Safety

Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning–Based Design Thinking Study

Claire Nierva Herrera, Fernanda Raphael Escobar Gimenes, João Paulo Herrera, Ricardo Cavalli

JMIR Res Protoc 2024 (Aug 12); 13:e55466

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Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study

Polona Caserman, Sungsoo Yum, Stefan Göbel, Andreas Reif, Silke Matura

JMIR Biomed Eng 2024 (Jul 31); 9:e59459

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Insights From a Clinically Orientated Workshop on Health Care Cybersecurity and Medical Technology: Observational Study and Thematic Analysis

Isabel Straw, Irina Brass, Andrew Mkwashi, Inika Charles, Amelie Soares, Caroline Steer

J Med Internet Res 2024 (Jul 11); 26:e50505

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AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic Review

Aditya U Kale, Riya Dattani, Ashley Tabansi, Henry David Jeffry Hogg, Russell Pearson, Ben Glocker, Su Golder, Justin Waring, Xiaoxuan Liu, David J Moore, Alastair K Denniston

JMIR Res Protoc 2024 (Jul 11); 13:e48156

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Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review

Aditya U Kale, Henry David Jeffry Hogg, Russell Pearson, Ben Glocker, Su Golder, April Coombe, Justin Waring, Xiaoxuan Liu, David J Moore, Alastair K Denniston

JMIR Res Protoc 2024 (Jun 28); 13:e51614

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Characterizing and Comparing Adverse Drug Events Documented in 2 Spontaneous Reporting Systems in the Lower Mainland of British Columbia, Canada: Retrospective Observational Study

Erica Y Lau, Amber Cragg, Serena S Small, Katherine Butcher, Corinne M Hohl

JMIR Hum Factors 2024 (Jan 18); 11:e52495

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