Latest AI and machine learning research in psychiatry for healthcare professionals.
BACKGROUND: Continuity of care is essential in psychiatric services due to the chronic, relapsing nature of mental health conditions, yet care pathways remain heavily fragmented at critical transition points. Although advancements in AI and machine learning (ML) offer powerful capabilities to track longitudinal data and automate clinical decision-making, a structured appraisal of their efficacy in...
The line between tool and companion was once obvious, but conversational AI is blurring it in ways few researchers anticipated. Large language model chatbots and purpose-built AI companion agents are now used by millions of people every day. They are not being used to simply retrieve information but, instead, to offer emotional support, help process personal distress, and sustain what many describ...
BACKGROUND: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant societal impact. Although prior research has highl...
BACKGROUND: Best practices in diagnosing autism spectrum disorder require an expert diagnostician to integrate multiple sources of information, includ...
BACKGROUND: AI adoption in health care has accelerated rapidly, with ambient documentation tools, diagnostic imaging AI, and clinical decision support...
Diagnosis of attention-deficit/hyperactivity disorder (ADHD) relies primarily on subjective clinical assessments, necessitating the establishment of o...
Regional, rural and remote Australians experience poorer health outcomes and substantially higher rates of suicide and self-harm than those in major c...
BACKGROUND: AI is increasingly proposed as a tool to enhance disaster medicine through improved situational awareness, decision support, and resource ...
In addition to the successful application of technology in empowering education through generative artificial intelligence, there may be certain dange...
BACKGROUND AND AIM: The burden of both psychiatric symptoms (anxiety and/or depression) and hypertension poses significant public health challenges in...
BACKGROUND: This study aimed to explore the impact of introducing robotic technologies on employees' mental and physical health across three Czech and...
Patients increasingly consult large language models (LLMs) before specialist review and may do so in widely differing emotional registers. We examined...
OBJECTIVE: Chronic Insomnia Disorder (CID) is characterized by maladaptive self-referential thinking linked to default mode network (DMN) dysfunction....
PURPOSE OF THE REVIEW: Acute postsurgical pain (APSP) and chronic postsurgical pain (CPSP) remain prevalent and insufficiently resolved challenges in ...
Large-scale ecological restoration is increasingly promoted as a strategy for environmental sustainability, but its implications for population health...
Alcohol Use Disorder (AUD) is a prevalent neuropsychiatric condition affecting about 28 million adults in the USA, with few objective biomarkers to as...
BACKGROUND: With the continuous advancement of technology, it is predicted that artificial intelligence technologies will be utilised more by academic...
BACKGROUND: Adult Attention-Deficit/Hyperactivity Disorder (ADHD) is under-recognized in professional drivers, yet it poses significant safety risks. ...
PURPOSE: To evaluate whether ChatGPT-assisted informed consent (IC) is noninferior to conventional physician-led IC in reducing preoperative anxiety (...
BACKGROUND: The diagnosis of attention deficit hyperactivity disorder (ADHD) has traditionally relied on subjective clinical interviews. Recent years ...