International journal of computer assisted radiology and surgery
Nov 1, 2025
PURPOSE: Epilepsy surgery is a potential curative treatment for people with focal epilepsy. Intraoperative electrocorticogram (ioECoG) recordings from the brain guide neurosurgeons during resection. Accurate localization of epileptic activity and thu...
PURPOSE: Diagnosis of peritoneal invasion, lymph node metastasis, and hepatic metastasis is crucial in the decision-making process of ovarian tumor treatment. This study aimed to test the feasibility of low-dose abdominopelvic CT with an artificial i...
Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: The quality and reproducibility of research results from biological samples are significantly influenced by the pre-analytical variability resulting from different conditions during sample collection, storage and processing. Although nu...
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...
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Sep 1, 2025
BACKGROUND: Social isolation and loneliness are significant risk factors for poor mental health in older adults, particularly those living alone with cognitive impairment. Socially assistive robots (SARs) offer a promising approach to enhance social ...
BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the treatment of prostate cancer. RARP requires a trade-off between performing a wider resection in order to reduce the risk of positive surgical margins (...
BACKGROUND: This study evaluates the feasibility of a novel deep learning-accelerated half-fourier single-shot turbo spin-echo sequence (HASTE-DL) compared to the conventional HASTE sequence (HASTE) in postoperative single-sequence MRI for the detect...
Multiple choice questions (MCQs) are frequently used in medical education for assessment. Automated generation of MCQs in board-exam format could potentially save significant effort for faculty and generate a wider set of practice materials for stude...
Circulation journal : official journal of the Japanese Circulation Society
Aug 25, 2025
BACKGROUND: The aim of this study was to retrain our existing deep learning-based fully automated aortic valve leaflets/root measurement algorithm, using computed tomography (CT) data for root dilatation (RD), and assess its clinical feasibility.
OBJECTIVE: To evaluate feasibility of large language models (LLMs) to convert radiologist-generated report summaries into personalized report templates, and assess its impact on scan reporting time and quality.
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.