OBJECTIVES: To perform a systematic review on the impact of deep learning (DL)-based triage for reducing diagnostic delays and improving patient outcomes in peer-reviewed and pre-print publications.
Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Nov 1, 2025
Radiomics and artificial intelligence (AI) are rapidly evolving, significantly transforming the field of medical imaging. Despite their growing adoption, these technologies remain challenging to approach due to their technical complexity. This review...
The integration of machine-learning technologies into radiology practice has the potential to significantly enhance diagnostic workflows and patient care. However, the successful deployment and maintenance of medical machine-learning (MedML) systems ...
American journal of clinical pathology
Oct 4, 2025
OBJECTIVE: To evaluate and implement whole-slide imaging (WSI) scanners for a fully digital pathology workflow at the University Health Network (UHN) in Canada, a multicenter institution. The goal was to optimize clinical diagnosis, education, telepa...
Diagnostic and interventional radiology (Ankara, Turkey)
Sep 8, 2025
PURPOSE: To assess the impact of a commercially available computed tomography (CT)-based artificial intelligence (AI) software for detecting acute intracranial hemorrhage (AIH) on radiologists' diagnostic performance and workflow in a real-world clin...
Journal of applied clinical medical physics
Sep 1, 2025
BACKGROUND: Efficient workflows are essential for timely, high-quality radiotherapy. In 2020, an internal audit identified key workflow bottlenecks, including long patient wait times, suboptimal treatment planning, and inadequate quality control. Acc...
Journal of applied clinical medical physics
Sep 1, 2025
BACKGROUND: In external beam radiation therapy (EBRT) for prostate cancer, both MRI and CT are typically used-CT provides electron density for dose calculation and visualization of bony anatomy and fiducial markers, while MRI offers superior soft tis...
Radiographics : a review publication of the Radiological Society of North America, Inc
Sep 1, 2025
In radiology practice, medical images are described and interpreted by radiologists in text reports. Recent technical developments enabling deep learning models to connect images and text may facilitate the radiologic workflow. These developments inc...
The metagenome analysis of complex environments with thousands of datasets, such as those in the Sequence Read Archive, requires substantial computational resources for it to be completed within a reasonable time frame. Efficient use of infrastructur...
INTRODUCTION: Health economics and outcomes research (HEOR) is pivotal in shaping healthcare policies, optimizing decision-making, and ensuring effective resource allocation. However, current HEOR workflows often struggle to keep pace with the growin...
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