BACKGROUND: Postoperative free flap monitoring is crucial yet taxing, requiring frequent and often subjective assessments to detect early signs of compromise. The present study aims to develop a machine learning model to predict the risk of flap take...
INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with history-taking. While simulation-based training is utilized to enhance these skills, recent advancements in artificial intelligence (AI), especially deep...
Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater
Sep 1, 2025
PURPOSE: This study explored the feasibility and therapeutic potential of combining artificial intelligence (AI)-assisted visual elicitation with sensory-attuned guided reflection to support emotional expression and engagement in individuals with ano...
AIM: This study examined the use of generative artificial intelligence (GAI), factors related to its application, and training expectations among school nurses who enrolled as seed instructors in a GAI training program.
BACKGROUND: For solitary papillary thyroid carcinoma on the isthmic (SPTCI), there are currently no specific guidelines for the extent of resection and lymph node dissection. This study aims to explore the surgical strategies suitable for patients wi...
AIM: This study explores nursing students' experiences and needs regarding chatbot-assisted learning, while evaluating the opportunities and challenges they encounter.
AIM: This study aims to assess the relationship between artificial intelligence (AI) chatbot usage on the academic performance of nursing students, focusing on the mediating roles of technophobia and technophilia.
BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperitoneal groin hernia repair, often prolonging hospitalization and increasing patient discomfort. This study aimed to develop a prediction model using mach...
Purpose To improve the generalizability of pathologic complete response prediction following neoadjuvant chemotherapy using deep learning-based retrospective pharmacokinetic quantification of early treatment dynamic contrast-enhanced MRI. Materials a...
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