Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Machine learning combined with PET/CT can predict heart attack risk

“We showed that risk prediction does not depend on cardiovascular risk scores, stenosis severity or CT calcium scoring," researchers said in the Journal of Nuclear Medicine.

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Doctors suggest performing whole-spine MRI scans for suspected child abuse victims

Replacing cervical spine exams with whole-spine MRIs can reveal "major findings," investigators explained recently.

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Fatigue impacts inexperienced breast radiologists’ performance, underlining importance of regular breaks

Physicians with five or fewer years of experience are more likely to order additional imaging when reading DBT exams later in the day. 

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Deep learning decreases CT radiation dose by 65% in patients with liver metastases

Scans using a smaller dose were accurate when detecting lesions 0.5 cm or larger but more research into low-contrast lesions is still necessary, experts cautioned.

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Cutting CT overuse for appendicitis: 4 factors that distinguish high-performing hospitals

The role of a “radiation reduction champion," often filled by a radiologist, is pivotal to these efforts, experts wrote in the Journal of Pediatric Surgery. 

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Blood test helps more accurately predict which patients would benefit from CT lung cancer screening

Researchers estimate their model would pinpoint 9% additional cases for screening while also reducing unnecessary imaging referrals by 14%. 

Personal ECG solution approved by NICE for detecting signs of AFib

The solution was designed to provide high-quality ECG readings without patients needing to leave the comfort of home. 

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Convolutional neural network pipeline has 100% accuracy distinguishing between COVID and pneumonia

"The proposed pipeline can accelerate diagnosis and augment the performance of radiologists,” experts explained in Computers in Biology and Medicine.