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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ACR creates platform to engage radiologists in AI development

The American College of Radiology Data Science Institute (ACR DSI) introduced a new software platform April 5 aimed at better engaging radiologists in the creation, validation and use of AI models.

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AI optimizes embryo selection for IVF

A team at Weill Cornell Medicine has developed an AI algorithm that can identify whether human embryos fertilized in vitro have the potential to progress to successful pregnancies, offering guidance as few as five days after an embryo is implanted.

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Neural network tracks treatment of brain tumors on MRI

Physicians and scientists in Germany have developed an artificial neural network that’s capable of interpreting brain MRI scans to tell physicians how brain tumors are responding to chemotherapy and radiation therapy, according to a study published in The Lancet Oncology.

AI uses x-rays to ID cardiac rhythm device manufacturer with 99.6% accuracy

A new AI software can quickly and accurately determine the manufacturer and model of a cardiac rhythm device from an x-ray, possibly speeding up treatment when the devices fail.

National Science Foundation backs medical AI startup with $225K grant

Pittsburgh-based startup SpIntellx has been awarded a $225,000 research grant by the National Science Foundation to further develop its HistoMapr-Breast system—an AI that images whole-slide samples and acts as a computational guide for pathologists.

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Natural language processing helps hospital predict downstream demand for imaging services

Canadian researchers working with Toronto General Hospital-University Health Network have developed a natural language processing (NLP) approach to predicting downstream radiology resource utilization, according to work published in the Journal of the American College of Radiology March 2.

Medical students interested in radiology are worried about AI—but they’re still applying

Though the idea of artificial intelligence displacing radiologists worries more than half of surveyed medical students interested in an imaging career, radiology programs have seen a spike in applications in recent years, according to work published in Academic Radiology.

AI rivals radiologists in detecting breast cancer

AI systems can detect breast cancer just as well as radiologists, according to a study published March 5 in the Journal of the National Cancer Institute.

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