Almost one in five patients with COVID-19 may only show gastrointestinal symptoms, according to a review of academic studies published in the journal Abdominal Radiology. The findings of the review suggest abdominal radiologists ...
Nov 3, 2020
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In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
Nov 21, 2018
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Artificial intelligence (AI) is currently unable to pass one of the qualifying radiology examinations, suggesting that this promising technology is not yet ready to replace doctors, finds a study in the Christmas issue of ...
Dec 21, 2022
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A magnetic resonance imaging (MRI) index has been developed and validated for predicting postoperative recurrence (POR) in Crohn disease (CD), according to a study published in the May issue of Clinical Gastroenterology and ...
Jun 20, 2022
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Patients with diabetes or renal failure are at high risk for deadly and debilitating vascular diseases, however, the most common imaging tool to evaluate the blood vessels uses a contrast agent that can further damage the ...
Sep 28, 2016
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25
A new computer-aided diagnostic tool developed by KAUST scientists could help overcome some of the challenges of monitoring lung health following viral infection.
May 23, 2022
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One radiologist supported by AI detected more cases of breast cancer in screening mammography than two radiologists working together, reports the ScreenTrustCAD study from Karolinska Institutet in a paper, titled "Artificial ...
Sep 8, 2023
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40
Researchers from the University of Ottawa and The Ottawa Hospital have found marijuana smokers have a higher rate of emphysema and airway diseases compared to cigarette smokers.
Nov 15, 2022
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Facebook has announced on its blog that its AI research team has been working with radiologists at NYU Langone Health to create an AI system that can speed up MRI machines. A paper written by the team describing the new technology ...
Using a common type of brain scan, researchers programmed a machine-learning algorithm to diagnose early-stage Alzheimer's disease about six years before a clinical diagnosis is made – potentially giving doctors a chance ...
Jan 3, 2019
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