AIMC Topic: Psychiatry
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Large language models and psychiatry.
International journal of law and psychiatry
Feb 27, 2025
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
Feb 10, 2025
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
Nov 11, 2024
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...
Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review.
Acta neuropsychiatrica
Nov 11, 2024
OBJECTIVES: Tools based on generative artificial intelligence (AI) such as ChatGPT have the potential to transform modern society, including the field of medicine. Due to the prominent role of language in psychiatry, e.g., for diagnostic assessment a...
Exploring the interplay of clinical reasoning and artificial intelligence in psychiatry: Current insights and future directions.
Psychiatry research
Nov 2, 2024
For many years, it has been widely accepted in the psychiatric field that clinical practice cannot be reduced to finely tuned statistical prediction systems utilizing diverse clinical data. Clinicians are recognized for their unique and irreplaceable...
Digital Psychiatry: Opportunities, Challenges, and Future Directions.
Journal of psychiatric practice
Nov 1, 2024
Recently, the field of psychiatry has experienced a transformative shift with the integration of digital tools into traditional therapeutic approaches. Digital psychiatry encompasses a wide spectrum of applications, ranging from digital phenotyping, ...
The challenges of using machine learning models in psychiatric research and clinical practice.
European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
Sep 3, 2024
To understand the complex nature of heterogeneous psychiatric disorders, scientists and clinicians are required to employ a wide range of clinical, endophenotypic, neuroimaging, genomic, and environmental data to understand the biological mechanisms ...
Quality and correctness of AI-generated versus human-written abstracts in psychiatric research papers.
Psychiatry research
Aug 17, 2024
This study aimed to assess the ability of an artificial intelligence (AI)-based chatbot to generate abstracts from academic psychiatric articles. We provided 30 full-text psychiatric papers to ChatPDF (based on ChatGPT) and prompted generating a simi...
The real ethical issues with AI for clinical psychiatry.
International review of psychiatry (Abingdon, England)
Jul 30, 2024
This article explores the ethical issues arising from ordinary AI applications currently used in mental health care, rather than speculative future scenarios. AI tools are already in use for a variety of purposes, including data collection for screen...
Diagnostic accuracy of large language models in psychiatry.
Asian journal of psychiatry
Jul 25, 2024
INTRODUCTION: Medical decision-making is crucial for effective treatment, especially in psychiatry where diagnosis often relies on subjective patient reports and a lack of high-specificity symptoms. Artificial intelligence (AI), particularly Large La...
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