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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New approach may ‘open avenues’ for deep learning in digital pathology

Deep learning can identify cancerous and precancerous esophagus tissue on digitized pathology slides, opening the door for AI to alter the digital pathology landscape.

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Screen time can negatively impact child brain development, MRI scans show

More screen usage can negatively impact the development of children’s brains, particularly regions associated with language development, according to a recent study published in JAMA Pediatrics.

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How AI Will Impact the Healthcare Workforce

The American Hospital Association predicts how hospitals will operate when AI and machine learning are on board.

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Parents have mixed feelings about AI-powered surgery, virtual nurses

Would you allow AI-powered robotic systems to perform surgery on your young child?

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New platform helps healthcare providers crowdsource data to develop AI solutions

Presagen, an Australia-based information technology company, has launched AI Open Projects, a new online platform that helps healthcare providers crowdsource the data they need to develop new AI solutions.

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A ‘scientific evolution’: How radiologists can help develop responsible AI

“Our broad radiology community has a unique opportunity to engage with this exciting scientific evolution, working with interdisciplinary ‘convergence science’ teams,” Andrea Rockall, clinical chair of radiology, Imperial College London, wrote in a new editorial.

FDA clears hands-free robotic system for CT exams

XACT Robotics, a radiology technology company with offices in Hingham, Massachusetts, and Israel, received FDA clearance for the use of its hands-free robotic system during CT examinations.

New MRI-based method improves liver cancer care

Tomoelastography combines tomography and elasticity, allowing researchers to diagram the spread of mechanical waves within the liver.