Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Nanox

Imaging disrupter Nanox closes $200M-plus in deals to purchase AI firm, teleradiology outfit

Zebra Medical Vision will fetch $110M at closing, paid in shares of Nanox’s stock, with $84M more available through performance incentives.

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Prostate cancer grading and quantification is significantly more accurate with AI-assisted platform

The tool may lead to substantial clinical management benefits for those with the disease, according to a new study in JAMA Network Open.

AI gets $20M infusion to go on the offensive against Alzheimer’s

The new center’s founders say they’ll prioritize addressing healthcare disparities associated with the disease itself and with other types of dementia.  

Top AI, emerging-tech stories in radiology and cardiology over the past 30 days

From AIin.Healthcare’s sister outlets Cardiovascular Business, Health Imaging and Radiology Business: 

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‘Imaging at the speed of light’: New detector may enable cheaper, more accurate scans

The development involves ultrafast photon detectors and doesn't rely on conventional tomography, researchers reported recently in Nature Photonics.

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Samsung scores FDA clearance for artificial intelligence aid that helps detect lung nodules

Company officials called the Food and Drug Administration determination a "huge milestone" for NeuroLogica, Samsung's healthcare subsidiary. 

Man vs. Machine artificial intelligence AI

AI developed during high-profile competition rivals radiologists’ lung cancer predictions

Diagnostic scores assigned to chest CT scans can be used as a sign that providers must carefully inspect images for abnormalities, researchers said in Radiology: Artificial Intelligence.

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Deep learning predicts metastasis probability in patients with non-small cell lung cancer

The AI approach may prove more effective than PET/CT, which can only diagnose N2 disease with 70-85% sensitivity, researchers reported Tuesday in Radiology.