Rahimis Lab
Innovating AI in healthcare đĽ | McGill Research Team đ¤â¨
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Rahimi's Lab | 321 followers on LinkedIn. We are a McGill research team, interested in integrating technology and human-centered AI tools in Primary Health Care. | We are a McGill University research team, primarily affiliated with the Family Medicine Department and interested in integrating innovative technology and human-centered AI tools in Primary Health Care. Our team are from multiple disciplines including engineering and health sciences.
Some of the Recent Publications
Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study
Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study
Application of Artificial intelligence in COVID-19-related geriatric care: A scoping review - PubMed
Application of Artificial intelligence in COVID-19-related geriatric care: A scoping review - PubMed
Age-related bias and artificial intelligence: a scoping review - Humanities and Social Sciences Communications
Age-related bias and artificial intelligence: a scoping review - Humanities and Social Sciences Communications
Integrating equity, diversity and inclusion throughout the lifecycle of AI within healthcare: a scoping review protocol
Integrating equity, diversity and inclusion throughout the lifecycle of AI within healthcare: a scoping review protocol
Artificial Intelligence for Detection of Dementia Using Motion Data: A Scoping Review
Artificial Intelligence for Detection of Dementia Using Motion Data: A Scoping Review
Abstract. Background: Dementia is a neurodegenerative disease resulting in the loss of cognitive and psychological functions. Artificial intelligence (AI)
Early Detection of Alzheimer's Disease Assisted by AI-Powered Human-Ro
Early Detection of Alzheimer's Disease Assisted by AI-Powered Human-Ro
Strategies to Mitigate Age-Related Bias in Machine Learning: A Scoping Review
Strategies to Mitigate Age-Related Bias in Machine Learning: A Scoping Review
Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of Artificial Intelligence for Better Health and Oral Health Care: A Workshop Summary | JCDA
Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of Artificial Intelligence for Better Health and Oral Health Care: A Workshop Summary | JCDA
Primary care physiciansâ perceptions of artificial intelligence systems in the care of adolescentsâ mental health - BMC Primary Care
Primary care physiciansâ perceptions of artificial intelligence systems in the care of adolescentsâ mental health - BMC Primary Care
Given that mental health problems in adolescence may have lifelong impacts, the role of primary care physicians (PCPs) in identifying and managing these is
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