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Journal of Medical Ethics|December 29, 2022
Evidence, ethics and the promise of artificial intelligence in psychiatryMelissa McCradden, Katrina Hui, Daniel Z Buchman
The Lancet. Digital Health|July 26, 2024
Medical artificial intelligence for clinicians: the lost cognitive perspectiveLana Tikhomirov, Carolyn Semmler, Melissa McCradden, et al.
Frontiers in Pediatrics|August 1, 2022
Up to the Challenge: Adapting Pediatric Intensive Care During a Global PandemicMyra Pereira, Olugbenga Akinkugbe, Laura Buckley, et al.
Archives of Disease in Childhood|July 7, 2023
Understanding caregiver experiences with disease-modifying therapies for spinal muscular atrophy: a qualitative studyLena Xiao, Sohee Kang, Djurdja Djordjevic, et al.
Frontiers in Digital Health|August 22, 2022
An integration engineering framework for machine learning in healthcareAzadeh Assadi, Peter C Laussen, Andrew J Goodwin, 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.
Clinical Imaging|December 1, 2024
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewElinor Laws, Joanne Palmer, Joseph Alderman, et al.
Canadian Journal of Public Health = Revue Canadienne De Sante Publique|June 11, 2025
Machine learning used to study risk factors for chronic diseases: A scoping reviewMahek Shergill, Steve Durant, Sharon Birdi, et al.
BMC Public Health|December 28, 2024
Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping reviewSharon Birdi, Roxana Rabet, Steve Durant, et al.
Public Health Reviews|March 2, 2026
Machine Learning Used in Communicable Disease Control: A Scoping ReviewSharon Birdi, Atushi Patel, Roxana Rabet, et al.
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