Latest AI and machine learning research in eating disorders for healthcare professionals.
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fun...
BACKGROUND: Machine learning could predict binge behavior and help develop treatments for bulimia ne...
Episodic memory is fundamental to the brain's cognitive function, but how neuronal activity is tempo...
OBJECTIVE: This study used machine learning methods to analyze data on treatment outcomes from indiv...
Previous studies have successfully predicted overweight status by applying deep learning to 12-lead ...
Robot-assisted (RA) technology has been shown to be a safe aid in spine surgery, this meta-analysis ...
BACKGROUND: Increasing an individual's ability to focus on concrete, specific detail, thus reducing ...
BACKGROUND: Anorexia nervosa (AN) and bulimia nervosa (BN), two subtypes of eating disorders, often ...
INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million peo...
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining ...
BACKGROUND: Eating disorders have become increasingly prevalent over the years; the age at which the...
Proximal gastrectomy (PG) in combination with jejunal pouch interposition is a technique aimed at im...
The mapping of the time-dependent evolution of the human brain connectivity using longitudinal and m...
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cogn...
BACKGROUND: The superiorities in proximal facet joint protection of robot-assisted (RA) pedicle scre...
Background: The present study investigates the relationship between hypertransaminasemia and malnutr...
Machine learning methods have been employed to make predictions in psychiatry from genotypes, with t...
BACKGROUND: Anorexia nervosa is a clinical disorder syndrome of the wide spectrum without a fully re...
The availability of large-scale datasets and sophisticated machine learning tools enables developing...
In this study, a computer-based feedback, decision and clinical problem-solving system for clinical ...
PURPOSE: Adolescent major depressive disorder (MDD) is a highly prevalent, incapacitating and costly...