Generative Pre-trained Transformer for Pediatric Stroke Research: A Pilot Study.

Background: Pediatric stroke is an important cause of morbidity in children. Although research can be challenging, large amounts of data have been captured through collaborative efforts in the International Pediatric Stroke Study (IPSS). This study explores the use of an advanced artificial intelligence program, the Generative Pre-trained Transformer (GPT), to enter pediatric stroke data into the IPSS.

A retrospective examination of pain in acute stroke at hospital discharge.

Objectives: Pain is an overlooked sequela of stroke. Persistent pain after stroke is an underrecognized experience and significantly impacts survivors' function, ability to participate in rehabilitation, and quality of life. The aim of this retrospective, observational study is to examine the incidence of pain at the acute hospitalization period immediately after stroke, to identify the characteristics of those reporting pain at discharge, and to compare pain reporting between stroke and non-stroke hospital controls.