Latest AI and machine learning research in psychiatry for healthcare professionals.
Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children and adolesce...
INTRODUCTION: Bipolar disorder (BD) is a chronically progressive mental condition, associated with a...
INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million peo...
OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients o...
Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...
INTRODUCTION: Concerns exist about the relationship between social media and youth self-harm and sui...
This paper presents a study on the use of AI models for the classification of case reports on assist...
Unipolar depression is a prevalent and disabling condition, often left untreated. In the outpatient ...
BACKGROUND: Internet-based interventions produce comparable effectiveness rates as face-to-face ther...
BACKGROUND: Most mental health care providers face the challenge of increased demand for psychothera...
Posterolateral (PL)-depression fractures of the tibial plateau are difficult to manage. The aim of t...
BACKGROUND: Alcohol use disorder (AUD) is one of the most common substance use disorders. People wit...
BACKGROUND: Depression is a common mental disorder and causes significant social loss. Early interve...
Pancreatic tumor enucleation is a procedure that can preserve pancreatic function and is sometimes p...
INTRODUCTION: The externalizing disorders of attention deficit hyperactivity disorder (ADHD), opposi...
Depression severity can be classified into distinct phases based on the Beck depression inventory (B...
Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particu...
Autism Spectrum Disorder (ASD) is a complex and heterogeneous neurodevelopmental disorder which affe...
BACKGROUND: Artificial intelligence (AI) has been the subject of studies in autism spectrum disorder...
OBJECTIVE: The authors examined whether machine-learning models could be used to analyze data from e...
The goal of this overview is to help clinicians develop basic proficiency with the terminology of de...