Marie-Jeanne Fradette
A5020415177- Digital Mental Health Interventions
- Mental Health Research Topics
- Artificial Intelligence in Healthcare and Education
- Mental Health Treatment and Access
- Machine Learning in Healthcare
- Telemedicine and Telehealth Implementation
- Treatment of Major Depression
- Patient-Provider Communication in Healthcare
McGill University
2021-2024
Alfred Health
2022
Background Approximately two-thirds of patients with major depressive disorder do not achieve remission during their first treatment. There has been increasing interest in the use digital, artificial intelligence–powered clinical decision support systems (CDSSs) to assist physicians treatment selection and management, improving personalization best practices such as measurement-based care. Previous literature shows that for digital mental health tools be successful, tool must easy feasible...
The objective of this paper is to discuss perceived clinical utility and impact on physician-patient relationship a novel, artificial-intelligence (AI) enabled decision support system (CDSS) for use in treating adults with major depression. A single arm, naturalistic follow-up study aimed at assessing the acceptability useability software. Patients had baseline appointment, followed by minimum two appointments CDSS. Study exit questionnaires interviews were conducted assess utility,...
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Abstract The objective of this paper is to discuss perceived clinical utility and impact on physician-patient relationship a novel, artificial-intelligence (AI) enabled decision support system (CDSS) for use in the treatment adults with major depression. Patients had baseline appointment, followed by minimum two appointments CDSS. For both physicians patients, study exit questionnaires interviews were conducted assess utility, patient-physician relationship, understanding trust 17 patients...
Abstract Objective We examine the feasibility of an Artificial Intelligence (AI)-powered clinical decision support system (CDSS), which combines operationalized 2016 Canadian Network for Mood and Anxiety Treatments guidelines with a neural-network based individualized treatment remission prediction. Methods Due to COVID-19, study was adapted be completed entirely at distance. Seven physicians recruited outpatients diagnosed major depressive disorder (MDD) as per DSM-V criteria. Patients...
<sec> <title>BACKGROUND</title> Approximately two-thirds of patients with major depressive disorder do not achieve remission during their first treatment. There has been increasing interest in the use digital, artificial intelligence–powered clinical decision support systems (CDSSs) to assist physicians treatment selection and management, improving personalization best practices such as measurement-based care. Previous literature shows that for digital mental health tools be successful, tool...