Harnessing language models for streamlined postcolonoscopy patient management: a novel approach.

Background And Aims: ChatGPT, an advanced language model, is increasingly used in diverse fields, including medicine. This study explores using ChatGPT to optimize postcolonoscopy management by providing guideline-based recommendations and addressing low compliance rates and timing issues.

Methods: In this proof-of-concept study, 20 clinical scenarios were prepared as structured reports and free-text notes, and ChatGPT's responses were evaluated by 2 senior gastroenterologists.

Adverse obstetric and neonatal outcomes in women with mental disorders.

The brain and the placenta synthesize identical peptides and proteins, such as brain-derived neurotrophic factor, oxytocin, vascular endothelial growth factor, cortisol, and matrix metalloproteinases. Given the promiscuity between neurochemistry and the mechanism of placentation, it would be expected that mental disorders occurring during pregnancy would increase the risk of adverse obstetric and neonatal outcomes. Indeed, expectant mothers with anxiety disorders, post-traumatic stress disorder, schizophrenia, or depressive disorders are at higher risk of preterm birth, low-birth-weight and small-for-gestational-age infants than controls.

Coagulation and mental disorders.

The neurovascular unit is a key player in brain development, homeostasis, and pathology. Mental stress affects coagulation, while severe mental illnesses, such as recurrent depression and schizophrenia, are associated with an increased thrombotic risk and cardiovascular morbidity. Evidence indicates that the hemostatic system is involved to some extent in the pathogenesis, morbidity, and prognosis of a wide variety of psychiatric disorders.