A statewide quality improvement and financial incentive program in Michigan helped reduce the use of chest x-rays in children with asthma, bronchiolitis, and croup by nearly 40% in a statewide ...
A new study shows that a simple measurement from routine chest X-rays can help predict survival among patients with lung ...
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Top neurologist warns, 'stop routine chest X-rays': Here’s when they’re actually needed
Chest X-rays have become a common practice these days, whether it is for routine check-ups or for the medical examination of a new job. But are these screenings actually healthy or do they carry ...
It’s 1984 and the patient, undergoing an annual physical, has had weight and vital signs documented. The doctor is now conducting a physical assessment that includes checking ears, eyes, mouth, ...
Every year, approximately 2 billion chest X-rays are performed around the world. They are affordable, quick, and often used in frontline healthcare to efficiently survey for abnormalities such as ...
A UB research team is developing an artificial intelligence framework to improve the accuracy and clinical reliability of automated chest X-ray analysis used by radiologists. The method tackles a long ...
Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – ...
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...
At similar radiation doses, ultra-low-dose CT (ULDCT) achieved superior image quality using AI-enhanced iterative reconstruction than chest x-rays for assessing cystic fibrosis-related lung disease in ...
Radiographs of the heart and lungs also capture parts of the liver, allowing for deep learning models to detect fatty liver disease. Fatty liver disease, caused by the accumulation of fat in the liver ...
Researchers in Japan created an AI that can detect fatty liver disease from ordinary chest X-rays—an unexpected and low-cost method that could transform early diagnosis. The model proved highly ...
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