AI Medical Compendium Journal:
Frontiers in psychiatry

Showing 31 to 40 of 49 articles

Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning.

Frontiers in psychiatry
BACKGROUND: Traditional approaches to modeling suicide-related thoughts and behaviors focus on few data types from often-siloed disciplines. While psychosocial aspects of risk for these phenotypes are frequently studied, there is a lack of research a...

Optimizing methadone dose adjustment in patients with opioid use disorder.

Frontiers in psychiatry
INTRODUCTION: Opioid use disorder is a cause for concern globally. This study aimed to optimize methadone dose adjustments using mixed modeling and machine learning.

Development of depression detection algorithm using text scripts of routine psychiatric interview.

Frontiers in psychiatry
BACKGROUND: A psychiatric interview is one of the important procedures in diagnosing psychiatric disorders. Through this interview, psychiatrists listen to the patient's medical history and major complaints, check their emotional state, and obtain cl...

ChatGPT is not ready yet for use in providing mental health assessment and interventions.

Frontiers in psychiatry
BACKGROUND: Psychiatry is a specialized field of medicine that focuses on the diagnosis, treatment, and prevention of mental health disorders. With advancements in technology and the rise of artificial intelligence (AI), there has been a growing inte...

Comparing clinical decision-making of AI technology to a multi-professional care team in an electronic cognitive behavioural therapy program for depression: protocol.

Frontiers in psychiatry
INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million people globally. Despite its high prevalence and debilitating effects, only one-third of patients newly diagnosed with depression initiate treatment. Ele...

Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence.

Frontiers in psychiatry
INTRODUCTION: Bipolar disorder (BD) is a chronically progressive mental condition, associated with a reduced quality of life and greater disability. Patient admissions are preventable events with a considerable impact on global functioning and social...

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy.

Frontiers in psychiatry
INTRODUCTION: The externalizing disorders of attention deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD) are common in adolescence and are strong predictors of adult psychopathology. While treatable...

Toward explainable AI (XAI) for mental health detection based on language behavior.

Frontiers in psychiatry
Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particular are paving the new way forward for the automated detection and prediction of mental health disorders among the population. Recent research in this...