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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10 questions clinicians—and patients—ought to ask about every AI they encounter

Technology educators, tech-policy wonks and hospital clinical leaders from three countries have collaborated to produce a helpful guide for end-users of healthcare-specific AI tools—and the patients they serve.

3 noteworthy developments in emerging medical technologies

While big breakthroughs in healthcare AI seem to have slowed in recent weeks, those involving other hot technologies have kept the content coming for publishers of peer-reviewed medical journals.

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Deep learning valuable for assessing coronary plaques on CCTA scans

The tool outperformed one board-certified radiologist while rivaling a cardiac specialist with 20-plus years of experience.

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Cardiovascular imaging specialists raise $33M to ramp up use of AI platforms

The Blue Venture Fund, a collaboration of dozens of Blue Cross Blue Shield companies, led the funding round. 

HIMSS speakers see standards, possibly ‘nutrition labels’ in healthcare AI’s future

Freely hope for the best, but diligently prepare for the worst. Applied to end users of healthcare AI, that adage could have been a key takeaway at last week’s annual meeting of HIMSS in Las Vegas.

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With a single MRI scan, artificial intelligence classifies intracranial brain tumors

Mallinckrodt Institute of Radiology researchers recently unveiled their deep learning tool in Radiology: Artificial Intelligence.

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Imaging disrupter Nanox acquiring AI firm, teleradiology outfit for total of $230M

The publicly traded startup is paying $200M to land artificial intelligence expert Zebra Medical and $30 million more for USARad, the three said. 

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AI, 30 second MRI scan predict pregnancy complications

The automated pipeline has the potential to become a "cornerstone" in diagnosing and treating placental health, researchers said.

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