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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FDA grants ‘breakthrough’ designation to ultrasound AI product

Software that uses AI to make cardiac-ultrasound experts of healthcare workers with no prior ultrasound experience has received “Breakthrough Device” designation from the FDA.

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IBM Watson partnering with contrast company on prostate AI

Aiming to develop and market AI algorithms for diagnosing prostate cancer on MRI scans, IBM Watson Health is working with Guerbet, a France-based maker of contrast agents used in medical imaging.

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AI proves as good as physicians at interpreting medical images

A meta-analysis of 14 studies has shown AI algorithms correctly diagnose diseases in medical imaging around 87% of the time while ruling out specific diseases with 93% accuracy.

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Deep learning improves vision care with superior image analysis

Deep-learning analysis of eye scans has proven superior to conventional analysis of the same images for the task of detecting and tracking vision diseases like glaucoma and age-related macular degeneration.

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Fujifilm SonoSite brings in Allen Institute’s AI2 Incubator

Portable ultrasound maker Fujifilm SonoSite has turned to the nonprofit Allen Institute for Artificial Intelligence’s AI2 Incubator for help harnessing AI’s image-interpretation potential.

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Skin cancer may be diagnosable by algorithmic smartphone app

An AI-based smartphone app for detecting cancer in skin lesions has proven quite capable, achieving 95.1% sensitivity.

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New partnership injects AI into portable cardiac imaging

Terason, a portable ultrasound manufacturer based in Massachusetts, is partnering with DiA Imaging Analysis, which is headquartered in Israel, to bring AI to healthcare providers using Terason machines for heart imaging.

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Virtual gadolinium may give the real thing a run for its money

Gadolinium-based contrast agents (GBCAs) can often bring out the best in MRI, but they’re controversial and thus increasingly avoided. A pilot study in Germany shows how an algorithm might substitute for an injection to track tumors of the brain and spinal cord (aka gliomas).

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