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. 

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IBM seeks healthcare exit with potential $1B-plus sale of Watson Health

Several private equity firms and one “strategic buyer” are in the running, and Big Blue hopes to select a suitor by the end of January, according to a published report. 

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Artificial intelligence startup reaches ‘unicorn’ status with $360M investment

Fractal offers AI solutions in several industries including radiology, with its Qure.ai business scoring a 2nd FDA clearance in August.

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Lack of transparency in FDA-regulated AI and ML imaging software has doctors concerned

Only 9 of the 118 AI-related devices regulated by the FDA included validation datasets of over 1,000 patients.

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Junior and senior radiologists benefit from AI assistance when identifying pulmonary nodules

Less experienced radiologists' accuracy for detecting nodules improved by 6.4% with AI help, according to a new study published in JAMA Network Open.

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Antitrust regulators approve Microsoft’s nearly $20B purchase of Nuance Communications

With its technology currently used by about 75% of radiologists, Nuance hopes the deal will close by early 2022. 

'Simply not replicable': Radiologists superior to AI despite prophecies that robots would replace them

"It is quite possible that what physicians and other health professionals know and can do is not replicable in digital terms," experts wrote in a new Academic Radiology editorial.

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AI improves detection of severe CAD in stress echocardiograms

Advanced algorithms can lead to significant improvements in agreement among specialists, researchers found. 

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Deep learning rivals fellowship-trained radiologists at segmenting breast cancers on MRI

Researchers trained their platforms on more than 60,000 individual breast scans, significantly more than most architectures.

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