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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AI uses ECG, X-ray data to improve treatment of arrhythmic disorders

An international group of researchers developed a deep learning model capable of identifying accessory pathways in patients with Wolff-Parkinson-White syndrome.

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FDA grants breakthrough device designation to AI-powered ECG analysis tool

Tempus, a Chicago-based healthcare technology company, collaborated with Geisinger on the solution.

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Mobile stroke units improve patient outcomes, reduce risk of disability

Researchers tracked data from more than 1,000 patients who received care from 2014 to 2020. 

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Wearable ECG devices detect AFib among older patients, reducing the risk of stroke

The new study, published in JAMA Cardiology, included more than 800 hypertension patients aged 75 years or older. 

chest pain lung pulmonary embolism

New pulmonary embolism approach could substantially reduce imaging overuse

The pretest probability score produced false-negative rates below 1% and dropped imaging use by about 20%, according to a new JAMA Cardiology study. 

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AI predicts new-onset AFib using 12-lead ECGs

The team's deep neural network was trained on more than 1.6 million 12-lead ECGs. 

chest pain lung pulmonary embolism

AI spots dozens of missed incidental pulmonary embolism diagnoses at one hospital

The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.

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Society of Cardiovascular Computed Tomography shares new CCTA guidance

The guidance, published in full in the Journal of Cardiovascular Computed Tomography, includes updates to previous CCTA recommendations and was designed to answer common questions.

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Around the web

Radiology Business
Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.