AIMC Topic: Psychiatry

Clear Filters Showing 1 to 10 of 120 articles

Prognostic predictions in psychosis: exploring the complementary role of machine learning models.

BMJ mental health
BACKGROUND: Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of individual trajectories. While machine learning (ML) shows promise in outcome prediction, it has not yet been integrated into clinical practi...

Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

JMIR human factors
BACKGROUND: Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental health sector in Ireland deals with ...

AI for mental health: clinician expectations and priorities in computational psychiatry.

BMC psychiatry
Mental disorders represent a major global health challenge, with an estimated lifetime prevalence approaching 30%. Despite the availability of effective treatments, access to mental health care remains inadequate. Computational psychiatry, leveraging...

Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs), such as OpenAI's GPT-3.5, GPT-4, and GPT-4o, have garnered early and significant enthusiasm for their potential applications within mental health, ranging from documentation support to chat-bot therapy. Under...

Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.

BMC health services research
BACKGROUND: As mental health disorders continue to surge, exceeding the capacity of available therapeutic resources, the emergence of technologies enabled by artificial intelligence (AI) offers promising solutions for supporting and delivering patien...

The role of generative artificial intelligence in psychiatric education- a scoping review.

BMC medical education
BACKGROUND: The growing prevalence of mental health conditions, worsened by the COVID-19 pandemic, highlights the urgent need for enhanced psychiatric education. The distinctive nature of psychiatry- which is heavily centred on communication skills, ...

Psychiatric Genomics 2025: State of the Art and the Path Forward.

The Psychiatric clinics of North America
Psychiatric genetics has evolved from candidate-gene studies to whole-genome sequencing efforts. With hundreds of disease-associated loci now identified, functional interpretation of the associated loci becomes the critical next step toward translati...

Large language models and psychiatry.

International journal of law and psychiatry
Integrating Generative Artificial Intelligence and Large Language Models (LLMs) such as GPT-4 is transforming clinical medicine and cognitive psychology. These models exhibit remarkable capabilities in understanding and generating human-like language...

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study.

JMIR mental health
BACKGROUND: As artificial intelligence (AI) tools are integrated more widely in psychiatric medicine, it is important to consider the impact these tools will have on clinical practice.

Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role.

Current psychiatry reports
PURPOSE OF REVIEW: This review aims to evaluate the current psychiatric applications and limitations of machine learning (ML), defined as techniques used to train algorithms to improve performance at a task based on data. The review emphasizes the cl...