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http://dx.doi.org/10.1021/acs.est.3c04414 | DOI Listing |
J Appl Clin Med Phys
September 2025
Clinical Imaging Physics Group, Duke University Health System, Durham, North Carolina, USA.
Introduction: Medical physicists play a critical role in ensuring image quality and patient safety, but their routine evaluations are limited in scope and frequency compared to the breadth of clinical imaging practices. An electronic radiologist feedback system can augment medical physics oversight for quality improvement. This work presents a novel quality feedback system integrated into the Epic electronic medical record (EMR) at a university hospital system, designed to facilitate feedback from radiologists to medical physicists and technologist leaders.
View Article and Find Full Text PDFBMC Urol
September 2025
Department of Radiology, Osaka Proton Therapy Clinic, 1-27-9 Kasugade naka, Osaka konohana-ku, Osaka, 554-0022, Japan.
Cardiovasc Intervent Radiol
September 2025
CardioVascular and Interventional Radiology, Vienna, Austria.
Acta Ortop Mex
September 2025
Servicio de Ortopedia y Traumatología, Hospital de San Rafael, Hospitales Pascual. Cádiz, España.
Introduction: anatomical deformities such as developmental dysplasia of the hip (DDH) and Perthes disease represent a challenge for reconstruction. The use of 3D-printed models can be helpful for assessing the deformity, bone mass, implant size, and orientation.
Objectives: to prospectively evaluate the outcomes of 3D simulation in primary total hip arthroplasty.
J Prosthet Dent
September 2025
Professor, Department of Prosthodontics, Faculty of Dentistry, Gazi University, Ankara, Turkey.
Statement Of Problem: Despite advances in artificial intelligence (AI), the quality, reliability, and understandability of health-related information provided by chatbots is still a question mark. Furthermore, studies on maxillofacial prosthesis (MP) information from AI chatbots are lacking.
Purpose: The purpose of this study was to assess and compare the reliability, quality, readability, and similarity of responses to MP-related questions generated by 4 different chatbots.