Abstract: Deep learning models for medical image classification tasks are becoming widely implemented in AI-assisted diagnostic tools, aiming to enhance diagnostic accuracy, reduce clinician workloads ...
Activists and residents are raising serious concerns over the use of unsafe chest X-rays under the tuberculosis (TB) screening campaign launched by the District TB Office, Aundh, Pune. Health ...
Background Artificial intelligence (AI)-assisted image interpretation is a fast-developing area of clinical innovation. Most research to date has focused on the performance of AI-assisted algorithms ...
The Center for Reproductive Health, University of Edinburgh reports that long COVID was associated with abnormal uterine bleeding in a UK population, with increased menstrual volume, longer duration ...
Patients in Bridgwater can now self-refer for a chest X-ray. The new scheme is part of efforts to improve early detection of lung cancer. The Somerset Chest X-Ray Service, launched earlier this summer ...
Researchers in Japan have developed an artificial intelligence model that simplifies the diagnosis of esophageal achalasia, a rare disorder affecting the movement of the esophagus, from routine chest ...
Achalasia is a disease caused by impaired movement of the esophagus. Patients experience food getting stuck and regurgitated, as well as chest pain. Currently, upper gastrointestinal endoscopy and ...
The technology is one of the strongest examples yet of how artificial intelligence can be used in a seamless, practical way to improve people’s lives. By Brian X. Chen Brian X. Chen is The Times’s ...
Abstract: The task of chest X-ray report generation, which aims to simulate the diagnosis process of doctors, has received widespread attention. Compared with the image caption task, chest X-ray ...
A Hamas mouthpiece praised “Hacks” star Hannah Einbinder’s Emmys acceptance speech Sunday when she said, “Free Palestine” — while censoring out the actress’s bare shoulders and cleavage in the footage ...
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GADA is a novel deep learning framework designed to enhance Automated Radiology Report Generation (ARRG) from chest X-rays. It introduces a Symptoms-Disease Progression Graph (SPG) to model temporal ...
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