Current Applications of Artificial Intelligence in Psychiatry DOI
Nicholas A Kerna,

Adina Boulos,

Melany Abreu

et al.

Scientia. Technology, science and society., Journal Year: 2025, Volume and Issue: 2(4), P. 125 - 143

Published: April 1, 2025

The integration of artificial intelligence (AI) into psychiatric practice has accelerated rapidly, driven by advances in computational methods and the availability diverse data sources. present paper examines contemporary AI applications across diagnostic support, predictive analytics, therapeutic interventions, digital phenotyping, telepsychiatry integration, ethical, legal, social considerations. Foundations machine learning, deep natural language processing are delineated alongside relevant modalities, including structured clinical records, unstructured notes, multimodal signals. roles symptom detection, neuroimaging pattern recognition, biomarker discovery, differential diagnosis evaluated. Predictive models for suicide risk, relapse, treatment response reviewed, with attention to personalization algorithms. Therapeutic tools, such as conversational agents, virtual reality, gamified mobile applications, discussed. Passive monitoring techniques, workflows, clinician dashboards described. Ethical challenges, privacy, algorithmic bias, regulatory frameworks, considered. Implementation barriers adoption factors analyzed. Emerging trends, federated fusion, explainable AI, low-resource settings, explored. Implications patient outcomes, health systems, policy synthesized, concluding recommendations future research practice.

Language: Английский

Current perspectives on the recognition and management of treatment-resistant schizophrenia: challenges and opportunities DOI
Myrto Samara, Georgios Alevizopoulos,

Vasilis P. Bozikasc

et al.

Expert Review of Neurotherapeutics, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Introduction Treatment-resistant schizophrenia (TRS) significantly impacts patients with schizophrenia, leading to a high disease burden, reduced quality of life, and functional impairment. Many fail respond standard antipsychotic treatments, requiring specialized therapeutic approaches. Clozapine remains the only approved treatment for TRS, demonstrating effectiveness in reducing symptoms, hospitalizations, risk suicide. However, its use is often delayed due concerns about adverse events, need ongoing monitoring.

Language: Английский

Citations

0
New pharmacological approaches in the treatment of schizophrenia DOI
Józef Muszyński, Agnieszka Bienert,

Rasha Wafaie Mahmoud Elsorady

et al.

Pharmacological Reports, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Language: Английский

Citations

0
Current Applications of Artificial Intelligence in Psychiatry DOI
Nicholas A Kerna,

Adina Boulos,

Melany Abreu

et al.

Scientia. Technology, science and society., Journal Year: 2025, Volume and Issue: 2(4), P. 125 - 143

Published: April 1, 2025

The integration of artificial intelligence (AI) into psychiatric practice has accelerated rapidly, driven by advances in computational methods and the availability diverse data sources. present paper examines contemporary AI applications across diagnostic support, predictive analytics, therapeutic interventions, digital phenotyping, telepsychiatry integration, ethical, legal, social considerations. Foundations machine learning, deep natural language processing are delineated alongside relevant modalities, including structured clinical records, unstructured notes, multimodal signals. roles symptom detection, neuroimaging pattern recognition, biomarker discovery, differential diagnosis evaluated. Predictive models for suicide risk, relapse, treatment response reviewed, with attention to personalization algorithms. Therapeutic tools, such as conversational agents, virtual reality, gamified mobile applications, discussed. Passive monitoring techniques, workflows, clinician dashboards described. Ethical challenges, privacy, algorithmic bias, regulatory frameworks, considered. Implementation barriers adoption factors analyzed. Emerging trends, federated fusion, explainable AI, low-resource settings, explored. Implications patient outcomes, health systems, policy synthesized, concluding recommendations future research practice.

Language: Английский

Citations

0