Results 11 to 20 of about 2,215,182 (398)

The now and future of ChatGPT and GPT in psychiatry

Psychiatry and Clinical Neurosciences, 2023
ChatGPT has sparked extensive discussions within the healthcare community since its November 2022 release. However, potential applications in the field of psychiatry have received limited attention.
Szu-Wei Cheng, Chung-Wen Chang, Wan-Jung Chang, Hao-Wei Wang, C. Liang, T. Kishimoto, J. Chang, John S. Kuo, K. Su   +8 more
semanticscholar   +1 more source

Artificial Intelligence and Chatbots in Psychiatry

Psychiatric quarterly, 2022
The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions.
K. T. Pham, Amir Nabizadeh, S. Selek
semanticscholar   +1 more source

Opportunities, applications, challenges and ethical implications of artificial intelligence in psychiatry: a narrative review

The Egyptian Journal of Neurology Psychiatry and Neurosurgery, 2023
Background Artificial intelligence (AI) has made significant advances in recent years, and its applications in psychiatry have gained increasing attention.
Mohamed Terra, Mohamed Baklola, Shaimaa Ali, Karim El-Bastawisy   +3 more
semanticscholar   +1 more source

Evolutionary psychiatry: foundations, progress and challenges

World Psychiatry, 2023
Evolutionary biology provides a crucial foundation for medicine and behavioral science that has been missing from psychiatry. Its absence helps to explain slow progress; its advent promises major advances.
RandolphM. Nesse
semanticscholar   +1 more source

Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges

Molecular Psychiatry, 2022
Recent years have seen the rapid proliferation of clinical prediction models aiming to support risk stratification and individualized care within psychiatry.
Alan J. Meehan, Stephanie J. Lewis, S. Fazel, P. Fusar-Poli, E. Steyerberg, D. Ståhl, A. Danese   +6 more
semanticscholar   +1 more source

Treatment resistance in psychiatry: state of the art and new directions

Molecular Psychiatry, 2021
Treatment resistance affects 20–60% of patients with psychiatric disorders; and is associated with increased healthcare burden and costs up to ten-fold higher relative to patients in general.
O. Howes, M. Thase, T. Pillinger
semanticscholar   +1 more source

A meta‐review of “lifestyle psychiatry”: the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders

World Psychiatry, 2020
There is increasing academic and clinical interest in how “lifestyle factors” traditionally associated with physical health may also relate to mental health and psychological well‐being. In response, international and national health bodies are producing
J. Firth, M. Solmi, R. Wootton, D. Vancampfort, F. Schuch, E. Hoare, S. Gilbody, J. Torous, S. Teasdale, S. Jackson, Lee Smith, Melissa Eaton, F. Jacka, N. Veronese, W. Marx, Garcia Ashdown-Franks, D. Siskind, J. Sarris, S. Rosenbaum, A. Carvalho, B. Stubbs   +20 more
semanticscholar   +1 more source

Computational psychiatry: from synapses to sentience

Molecular Psychiatry, 2022
This review considers computational psychiatry from a particular viewpoint: namely, a commitment to explaining psychopathology in terms of pathophysiology. It rests on the notion of a generative model as underwriting (i) sentient processing in the brain,
K. Friston
semanticscholar   +1 more source

A comparative survey of anxiety level in primary school children with working and unemployed mothers in north of Iran; 2013 [PDF]

, 2015
Background: Anxiety is one of important disorders of mental health in children and adolescents which is influenced by various endogenous and environmental factors. The aim of this study was a comparative survey of anxiety level in primary school children
Derakhshanpoor, F., Izadyar, H., Shahini, N.   +2 more
core   +1 more source

MicroRNA-9 controls dendritic development by targeting REST [PDF]

, 2014
MicroRNAs (miRNAs) are conserved noncoding RNAs that function as posttranscriptional regulators of gene expression. miR-9 is one of the most abundant miRNAs in the brain.
Akerblom, Akerblom, Ameres, Andres, Aoki, Bak, Ballas, Ballas, Barnes, Bartel, Bonev, Bonhoeffer, Bushati, Caceres, Care, Chen, Chen, Coolen, Coolen, Dajas-Bailador, Delaloy, Dieni, Dotti, Ebert, Edbauer, Feng, Fiore, Gao, Gentner, Giraldez, Goslin, Han, Hand, Haramati, Hering, Hitz, Horch, Jan, Jiang, Jorgensen, Kawabe, Kawauchi, Kluiver, Koch, Kolb, Krichevsky, Kruger, Kuwabara, Laemmli, Lagos-Quintana, Lagos-Quintana, Leucht, Liu, Liu, Liu, London, Loya, Luxenhofer, Ma, Madisen, Magill, Mumm, Nadeau, Olena, Ooi, Otaegi, Packer, Parrish, Parrish, Pathania, Polleux, Qin, Rajan, Refojo, Rodriguez, Saito, Sauvageau, Schoenherr, Schratt, Senyuk, Shibata, Simó, Soriano, Spruston, Sudhof, Takemoto-Kimura, Tronche, Urbanska, Wayman, Whitford, Witkos, Wong, Yamamoto, Yao, Yoo, Zhao   +95 more
core   +1 more source