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February 26, 2024
In this work, the C-Spine algorithm by Aidoc was used to investigate the effect on detection and notification time (DNT) for the detection of cervical spine fractures on non-contrast CT. A total of...
February 26, 2024
This retrospective multicenter study evaluated a fully automatic deep learning-based method for aortic segmentation and simultaneous diameter and volume measurements. The Augmented Radiology for...
February 26, 2024
In this nested case-control retrospective study, the ProFound AI Risk from iCAD was used to investigate the predictive performance of an image-derived AI-based risk model in four European screening...
February 26, 2024
A Japanese prospective study evaluated Us2.v1 (Us2.ai), an AI tool for echocardiographic analysis, using echocardiograms of 23 participants with various cardiac conditions including ischemic heart...
February 26, 2024
New acquisition on the market! Deepc has acquired the Osimis platform, marking a significant move in the AI industry. This merger, which follows the recent news of Osimis filing for bankruptcy,...
February 26, 2024
Large Language Models (LLMs) for radiology are rapidly gaining popularity in research, and some of the first use cases are now being adopted clinically. This article aims to integrate LLMs with...
February 26, 2024
This recent publication underscores the critical need for rigorous validation of AI applications to ensure their safety and efficacy in clinical settings. The paper highlights the inadequacy of...
February 7, 2024
If you are considering purchasing an AI tool for fracture detection, this is a paper worth checking out. It lists all commercially available products for fracture detection on radiographs and CT and...
February 7, 2024
A French retrospective study evaluated CINA-PE (Avicenna.AI), an AI tool for pulmonary embolism (PE) detection, using 196 CT pulmonary angiograms (15.8% PE-positive). Radiology residents initially...
February 7, 2024
This single-center retrospective study used GLEAMER’s fracture detection solution, BoneView Trauma, as an objective reference for model performance. Two models were trained in-house on 80% of the...
February 7, 2024
In this Belgian study, 112 participants with varying cognitive decline degrees were included. Radiologists manually assessed medial temporal lobe atrophy (MTA), a common indicator of Alzheimer's,...
February 7, 2024
In an Austrian study by Mitterer et al, ImageBiopsy Lab’s AI tool LAMA was used to analyze 110 postoperative knee radiographs from 102 knee osteotomy patients. The study compared the AI's knee...