AIMC Topic: Mental Disorders

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Artificial intelligence in forensic mental health: A review of applications and implications.

Journal of forensic and legal medicine
This narrative review explores the transformative role of artificial intelligence (AI) in forensic mental health, focusing on its applications, benefits, limitations, and ethical considerations. AI's capabilities, particularly in areas such as risk a...

Beyond total scores: Enhancing psychotherapy outcome prediction with item-level scores.

Journal of consulting and clinical psychology
OBJECTIVE: This study aims at improving dropout and treatment nonresponse prevention by optimizing the performance of models for their prediction through the integration of item-level data.

Gray Matter Differences in Adolescent Psychiatric Inpatients: A Machine Learning Study of Bipolar Disorder and Other Psychopathologies.

Brain and behavior
BACKGROUND: Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, with both false positives and false negatives resulting in treatment delay. We employed a whole-brain machine learning approach focusing on gray matter v...

[Health Equity in Mental Health Care: Challenges for Nurses and Related Preparation].

Hu li za zhi The journal of nursing
Individuals with mental illness face significant challenges in achieving health equity due to social and structural determinants, fragmented healthcare systems, social stigmas, and disparities in digital health access. As advocates for individuals wi...

Integrating generative AI with neurophysiological methods in psychiatric practice.

Asian journal of psychiatry
This paper explores the potential integration of generative AI (e.g., large language models) with neuroscientific and physiological approaches in psychiatric practice. Renowned for its advanced natural language processing capabilities, generative AI ...

Mental disorder preventing by worry levels detection in social media using deep learning based on psycho-linguistic features: application on the COVID-19 lockdown period.

Computers in biology and medicine
BACKGROUND: The COVID-19 pandemic has had a profound effect on the daily routines of individuals and has influenced various facets of society, including healthcare systems, economy, education, and more. With lockdown and social distancing measures, p...

Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features.

Psychiatry research
With increased access to digital technology, there has been a surge in the use of and interest in digital phenotyping as a tool to calculate various features from raw smart device data. However, the increased usage of digital phenotyping has created ...

A highly scalable deep learning language model for common risks prediction among psychiatric inpatients.

BMC medicine
BACKGROUND: There is a lack of studies exploring the performance of Transformers-based language models in common risks assessment among psychiatric inpatients. We aim to develop a scalable risk assessment model using multidimensional textualized data...

[AI in mental healthcare: hope or hype?].

Nederlands tijdschrift voor geneeskunde
Artificial Intelligence (AI) holds promise for addressing significant challenges in mental healthcare, such as workforce shortages, waiting lists, and the need for personalized diagnostics and treatments. However, current high expectations contrast w...

AI-powered integration of multimodal imaging in precision medicine for neuropsychiatric disorders.

Cell reports. Medicine
Neuropsychiatric disorders have complex pathological mechanism, pronounced clinical heterogeneity, and a prolonged preclinical phase, which presents a challenge for early diagnosis and development of precise intervention strategies. With the developm...