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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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.

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Brain recognizes familiar music in less than 1 second, imaging shows

The findings, published in Scientific Reports, may be particularly helpful for dementia patients, who have been shown to preserve some form of musical memory while most other recollections fade.

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Majority of consumers hope to use voice assistants for healthcare

Just 7.5% of consumers in the United States have used voice assistant technology—Amazon’s Alexa, for example—for healthcare. According to a new report, however, 52% want to use it for that purpose in the future.

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AI predicts when breast lesions will progress to invasive cancer

Case Western Reserve scientists have developed a tool that may help predict whether precancerous breast lumps will worsen, heading off the need for unnecessary radiation treatment. 

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Siemens Healthineers finalizes $1.1B robotics acquisition

Siemens Medical Solutions, a wholly-owned subsidiary of Siemens Healthineers AG, has completed its acquisition of 100% of Waltham, Massachusetts-based Corindus Vascular Robotics. The deal, which was for $1.1 billion, was first announced back in August.

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Behind the scenes look at Facebook, NYU's bid to advance AI in radiology

Facebook and NYU Langone Health announced their commitment to making MRI scans more efficient through the use of AI more than one year ago, and a new story from Popular Science provides a glimpse into what the two have been up to.