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Radiography

Image: Aidoc has received FDA 510(k) clearance for its triage and notification of pneumothorax on X-ray exams (Photo courtesy of Aidoc)

AI Software Triages Chest X-Rays for Pneumothorax to Reduce Time-to-Diagnosis

The ability to quickly identify pneumothorax is imperative as it can worsen rapidly and result in respiratory or cardiac failure. However, this is easier said than done due to the extensive imaging volumes radiologists have to continuously examine. Now, a new AI pneumothorax algorithm addresses this challenge by analyzing X-rays, flagging, and notifying physicians of the suspected findings. More...
01 Apr 2022
Image: Study points to use of AI as a “second reader” in fracture detection (Photo courtesy of Unsplash)

AI Helps Radiologists Speed and Improve Bone Fracture Diagnosis on X-Rays

Missed or delayed diagnosis of fractures on X-ray is a common error with potentially serious implications for the patient. Lack of timely access to expert opinion as the growth in imaging volumes continues to outpace radiologist recruitment only makes the problem worse. Artificial intelligence (AI) is an effective tool for fracture detection that has potential to aid clinicians in busy emergency departments, according to a new study. More...
31 Mar 2022
Image: Using AI and machine learning can improve patient outcomes (Photo courtesy of Pexels)

AI Tool Ensures Follow-Ups of Radiographic Findings to Prevent Diagnostic Delays

A team of researchers from the Feinberg School of Medicine at Northwestern University (Evanston, IL, USA) developed an initiative to ensure reliable follow-ups of radiographic findings to prevent diagnostic and treatment delays and improve outcomes. The team developed an AI workflow based on recurrent neural networks and natural language processing (NLP) to examine and identify radiology reports with findings that require additional medical follow-up. More...
30 Mar 2022
Image: TUM researchers working together at the micro-computed tomography scanner (Photo courtesy of TUM)

Novel Micro-Computed Tomography (Micro-CT) Imaging Method Could Significantly Reduce Scan Times

Micro-computed tomography (micro-CT) is an imaging method based on X-ray images which are reconstructed to form a three-dimensional image of the internal structure of samples with small dimensions. Researchers in biomedical physics and biology have significantly improved micro-CT, more specifically imaging with phase contrast and high brilliance X-ray radiation. More...
17 Mar 2022
Image: Digital images of cells infected with SARS-CoV-2 created from soft X-ray tomography (Photo courtesy of Berkeley Lab)

Soft X-Ray Tomography 3D Scans Show How Cells Respond to SARS-CoV-2 Infection and to Possible Treatments

An extremely fast new 3D imaging method can show how cells respond to SARS-CoV-2 infection and to possible treatments. More...
28 Feb 2022
Image: Neural networks trained to recognize hip joints and classify fractures (Photo courtesy of University of Bath)

Machine Learning Outperforms Clinical Experts in Classifying Hip Fractures from X-Rays

A new machine learning process designed to identify and classify hip fractures has been shown to outperform human clinicians. More...
14 Feb 2022
Image: CARESTREAM Smart Noise Cancellation (Photo courtesy of Carestream)

Carestream’s AI-Powered Smart Noise Cancellation Technology Allows Radiologists to Reduce Dose without Loss of Image Quality

Carestream Health’s (Rochester, NY, USA) groundbreaking Smart Noise Cancellation (SNC) technology offers an artificial intelligence (AI)-based feature that allows radiologists to reduce dose without loss of image quality. More...
10 Feb 2022
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The MedImaging Radiology channel covers fluoroscopy, digital radiography, computerized tomography, mammography, interventional radiology, and other medical uses of X-ray imaging as well as related instrumentation, trends and safety issues.