AIMC Topic: Psychiatry
Clear Filters Showing 61 to 70 of 125 articles
The Future is Knocking: How Artificial Intelligence Will Fundamentally Change Psychiatry.
Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry
May 18, 2020
Ethical dilemmas posed by mobile health and machine learning in psychiatry research.
Bulletin of the World Health Organization
Feb 25, 2020
The application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on stu...
Machine Learning Applications for optimized mental health outcomes in Asia: Translating Hype to Hope.
Asian journal of psychiatry
Feb 24, 2020
Good News: Artificial Intelligence in Psychiatry Is Actually Neither.
Psychiatric services (Washington, D.C.)
Jan 8, 2020
Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Dec 13, 2019
Data science and digital technologies have the potential to transform diagnostic classification. Digital technologies enable the collection of big data, and advances in machine learning and artificial intelligence enable scalable, rapid, and automate...
Psychiatry and Fitness to Fly After Germanwings.
The journal of the American Academy of Psychiatry and the Law
Nov 21, 2019
In March 2015, a co-pilot flying Germanwings Flight 9525 deliberately pointed his airplane into a descent, killing himself, five other crew members, and 144 passengers. Subsequent investigation and review teams examined the incident and considered po...
Artificial intelligence and the future of psychiatry: Insights from a global physician survey.
Artificial intelligence in medicine
Nov 18, 2019
BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial intelligence (AI) and machine learning (ML), will lead to substantial job losses in many sectors disrupting many aspects of healthcare. Mental health appe...
Recommendations and future directions for supervised machine learning in psychiatry.
Translational psychiatry
Oct 22, 2019
Machine learning methods hold promise for personalized care in psychiatry, demonstrating the potential to tailor treatment decisions and stratify patients into clinically meaningful taxonomies. Subsequently, publication counts applying machine learni...
What do patients learn about psychotropic medications on the web? A natural language processing study.
Journal of affective disorders
Sep 10, 2019
BACKGROUND: Low rates of medication adherence remain a major challenge across psychiatry. In part, this likely reflects patient concerns about safety and adverse effects, accurate or otherwise. We therefore sought to characterize online information a...
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