Purpose Fracture detection is one of the most commonly used and studied aspects of
artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed …

Standardized radiological reports stimulate debate in the medical imaging field. This review
paper explores the advantages and challenges of standardized reporting. Standardized …

Medical report generation is an integral part of computer-aided diagnosis aimed at reducing
the workload of radiologists and physicians and alerting them of misdiagnosis risks. In …

The aim of this study was to establish a relationship between the textural parameters
observed in X-ray images of bones and the age of the individual. The study utilized a …

Large language models (LLMs) remain relatively underutilized in medical imaging,
particularly in radiology, which is essential for disease diagnosis and management …

Background: While large language models (LLMs) have demonstrated impressive
capabilities in question-answering (QA) tasks, their utilization in analyzing ocular imaging …

Knowledge of patient comorbidities is crucial for effective healthcare decision-making and
predictive modeling. However, data regarding comorbidities is often buried in unstructured …

Objective: The primary aim of this study was to refine the accuracy and efficiency of hip
fracture detection using a new computer vision model based on the YOLOv8 algorithm …