AI in Mental Health: A Review of Technological Advancements and Ethical Issues in Psychiatry DOI Creative Commons
Utsav Poudel,

Sachin Jakhar,

M. Prakash

и другие.

Issues in Mental Health Nursing, Год журнала: 2025, Номер unknown, С. 1 - 9

Опубликована: Май 16, 2025

Artificial intelligence (AI) is transforming digital health, its influence expanding across multiple sectors, with mental health and psychiatric care emerging as key areas of transformation. While significant advancements have been made in medical AI, there remains a need to better understand how these technologies are integrated into clinical practice what challenges they introduce. We examine the use AI identifying treating disorders, highlighting impact on screening, diagnosis, intervention strategies. Technologies such natural language processing (NLP), machine learning (ML), computer-delivered cognitive behavioral therapy (CBT) discussed context enhancing Clinical Decision Support Systems (CDSS). innovations promise increased efficiency accessibility care, also introduce ethical challenges, including concerns over privacy, bias, reduced human interaction. Through critical evaluation, we find that greater transparency, unbiased model development systems work hand human-led should be encouraged. Our findings underscore importance continued research regulation ensure responsible effective deployment services.

Язык: Английский

Mental Health Digitalization in Indonesia: Adopting Global Findings and Facing Local Challenges DOI

Andi Wahyu Irawan,

Anna Ayu Herawati,

Binti Isrofin

и другие.

Asian Journal of Psychiatry, Год журнала: 2025, Номер 109, С. 104515 - 104515

Опубликована: Май 3, 2025

Язык: Английский

Процитировано

1

AI in Mental Health: A Review of Technological Advancements and Ethical Issues in Psychiatry DOI Creative Commons
Utsav Poudel,

Sachin Jakhar,

M. Prakash

и другие.

Issues in Mental Health Nursing, Год журнала: 2025, Номер unknown, С. 1 - 9

Опубликована: Май 16, 2025

Artificial intelligence (AI) is transforming digital health, its influence expanding across multiple sectors, with mental health and psychiatric care emerging as key areas of transformation. While significant advancements have been made in medical AI, there remains a need to better understand how these technologies are integrated into clinical practice what challenges they introduce. We examine the use AI identifying treating disorders, highlighting impact on screening, diagnosis, intervention strategies. Technologies such natural language processing (NLP), machine learning (ML), computer-delivered cognitive behavioral therapy (CBT) discussed context enhancing Clinical Decision Support Systems (CDSS). innovations promise increased efficiency accessibility care, also introduce ethical challenges, including concerns over privacy, bias, reduced human interaction. Through critical evaluation, we find that greater transparency, unbiased model development systems work hand human-led should be encouraged. Our findings underscore importance continued research regulation ensure responsible effective deployment services.

Язык: Английский

Процитировано

1