Background: Eosinophilic esophagitis (EoE) is an increasingly common cause of food impaction.
Aims: This study aims to provide a nationwide analysis of food impaction in patients with or without EoE diagnosis, concentrating on patient demographics, interventions, outcomes, and development of predictive machine-learning models.
Methods: A retrospective assessment was conducted using Nationwide Emergency Department Sample data from January 1, 2018, to December 31, 2019.
Background And Aim: Effective clinical event classification is essential for clinical research and quality improvement. The validation of artificial intelligence (AI) models like Generative Pre-trained Transformer 4 (GPT-4) for this task and comparison with conventional methods remains unexplored.
Methods: We evaluated the performance of the GPT-4 model for classifying gastrointestinal (GI) bleeding episodes from 200 medical discharge summaries and compared the results with human review and an International Classification of Diseases (ICD) code-based system.
Esophageal stricture after bone marrow transplantation (BMT) is exceptionally rare, with only a few cases reported in the literature. We present an interesting case of a 58-year-old male with refractory multiple myeloma who developed dysphagia five days following his second bone marrow transplantation. He was found to have a severe esophageal stricture.
View Article and Find Full Text PDFCuteness in the young has long been theorized to elicit care and protection. Most research on this topic has focused on human infants, despite theories suggesting that cuteness may elicit broader social interest that could support learning and development beyond infancy. In four experiments (N = 531 adults, 98 children), we tested whether 'kindchenschema'-facial features associated with cuteness-and perceived cuteness elicit interest in playing with and caring for children, and whether masks disrupt these processes.
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