Grant: CIHR Fellowship - PA: Patient Oriented Research - Indigenous Health Research
Unity Health Toronto
$210,000.00
Explainable Artificial Intelligence (XAI) for Remote Health Sensing and Monitoring Systems in Northern Canada
EF 2024-25
Résumé
The recent outbreak of COVID-19 has underscored the critical role of telehealth and digital therapeutics in pandemic preparedness. This is especially true for northern Indigenous communities, where the assessment of mental health is crucial due to the increasing incidence of depression, addiction, and suicide. Detection and intervention through digital platforms can enhance mental well-being and enable personalized treatment strategies, even in remote settings.
The aim of this proposal is to develop a comprehensive digital health monitoring (DHM) system for remote mental health assessment. This system will integrate multimodal monitoring using wearable devices, mobile application platforms, and VR modules. The ultimate objective is to develop a digital decision support system with added explainability for clinicians, facilitating the early detection, diagnosis, and intervention of common mental disorders.
This Indigenous co-led project includes the design of a digital framework to inform clinicians about the mental health status of patients for continuous monitoring purposes. The multimodal data recorded from members of the Indigenous community will be analyzed on a single platform using advanced fusion approaches. Intelligent and explainable algorithms will be developed to classify participants in the context of psychiatric nosology, providing an objective measurement of individual mental health risk. Best practices will be adopted regarding privacy, ethics, and transparency for both data curation and transfer.
The outcomes of the study will be useful for implementing Digital Mental Health Interventions (DMHIs) using multimodal measurement systems and validating the DMHI framework for the clinical management of marginalized populations in a post-pandemic scenario. The framework can further be standardized under the Software-as-a-Medical-Device (SaMD) context within the regulatory landscape of Canada and beyond.
Programme
CIHR Fellowship - PA: Patient Oriented Research - Indigenous Health Research
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Other
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
516603
Name
Banerjee Shib Sundar
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Health systems / services
Prcname2
Health Research Training A - Post-PhD (HTA)
Projecttitle
Explainable Artificial Intelligence (XAI) for Remote Health Sensing and Monitoring Systems in Northern Canada
Programtype2
Fellowship Programs
Orgnameinp2
Unity Health Toronto
Cihramount2
$210,000
Cihrequipment2
$0
Programname2
CIHR Fellowship - PA: Patient Oriented Research - Indigenous Health Research
Keyworddelim
Digital Psychiatry; Explainable Expert System; Indigenous Population Health; Mental Health Assessment; Multimodal Data Processing; Remote Medical Care
Abstract
The recent outbreak of COVID-19 has underscored the critical role of telehealth and digital therapeutics in pandemic preparedness. This is especially true for northern Indigenous communities, where the assessment of mental health is crucial due to the increasing incidence of depression, addiction, and suicide. Detection and intervention through digital platforms can enhance mental well-being and enable personalized treatment strategies, even in remote settings.
The aim of this proposal is to develop a comprehensive digital health monitoring (DHM) system for remote mental health assessment. This system will integrate multimodal monitoring using wearable devices, mobile application platforms, and VR modules. The ultimate objective is to develop a digital decision support system with added explainability for clinicians, facilitating the early detection, diagnosis, and intervention of common mental disorders.
This Indigenous co-led project includes the design of a digital framework to inform clinicians about the mental health status of patients for continuous monitoring purposes. The multimodal data recorded from members of the Indigenous community will be analyzed on a single platform using advanced fusion approaches. Intelligent and explainable algorithms will be developed to classify participants in the context of psychiatric nosology, providing an objective measurement of individual mental health risk. Best practices will be adopted regarding privacy, ethics, and transparency for both data curation and transfer.
The outcomes of the study will be useful for implementing Digital Mental Health Interventions (DMHIs) using multimodal measurement systems and validating the DMHI framework for the clinical management of marginalized populations in a post-pandemic scenario. The framework can further be standardized under the Software-as-a-Medical-Device (SaMD) context within the regulatory landscape of Canada and beyond.
Competitiondate
202410
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Banerjee, Shib Sundar
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $210,000~ $0~