Evaluating the Clinical Feasibility of an Artificial Intelligence–Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study

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 of digital, artificial intelligence–powered clinical decision support systems (CDSSs) to assist physicians in their tre...

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Detalles Bibliográficos
Autores principales: Popescu, Christina, Golden, Grace, Benrimoh, David, Tanguay-Sela, Myriam, Slowey, Dominique, Lundrigan, Eryn, Williams, Jérôme, Desormeau, Bennet, Kardani, Divyesh, Perez, Tamara, Rollins, Colleen, Israel, Sonia, Perlman, Kelly, Armstrong, Caitrin, Baxter, Jacob, Whitmore, Kate, Fradette, Marie-Jeanne, Felcarek-Hope, Kaelan, Soufi, Ghassen, Fratila, Robert, Mehltretter, Joseph, Looper, Karl, Steiner, Warren, Rej, Soham, Karp, Jordan F, Heller, Katherine, Parikh, Sagar V, McGuire-Snieckus, Rebecca, Ferrari, Manuela, Margolese, Howard, Turecki, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576598/
https://www.ncbi.nlm.nih.gov/pubmed/34694234
http://dx.doi.org/10.2196/31862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576598/
https://www.ncbi.nlm.nih.gov/pubmed/34694234
http://dx.doi.org/10.2196/31862

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