Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
[An integrative review documenting creativity in the utilization of digital health and artificial intelligence at the Institut universitaire en santé mentale de Montréal].
0
Zitationen
2
Autoren
2024
Jahr
Abstract
Objective Founded in 1873, the Institut universitaire en santé mentale de Montréal (IUSMM) has a captivating history that significantly reflects the evolution of psychiatry over the years. In recent years, the primary sectors of modern medicine have turned to digital health innovations to enhance patient care development. The main objective of this review is to document advancements in digital health within the IUSMM and its affiliated research center over the past 150 years. Method An integrative review focusing on digital health innovations at the IUSMM was conducted. The Medline, Web of Science, PsycNet (PsycINFO), and Google Scholar databases were consulted from their inception until December 2023. Result The literature review initially identified 239 articles, with 108 duplicates removed during the preliminary analysis. Among the remaining 131 studies, 63 articles were excluded based on title and abstract review, as they did not meet inclusion criteria. After a comprehensive analysis of the initially selected 68 articles for eligibility evaluation, a total of 22 articles were retained. Five categories of articles were identified: virtual reality, digital applications, remote services and therapies, the use of artificial intelligence, and digital personal assistants. Conclusion On the occasion of the 150th anniversary of the IUSMM, this integrative review reveals that digital health innovations are primarily concentrated in the last decade, suggesting promising potential for digital applications in supporting individuals with mental health disorders, although the transition to clinical practice may progress slowly.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.476 Zit.