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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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.

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Brain MRI scans may help NASA plan safer missions to space

“Although this study evaluates a small subset of astronauts, it's significantly larger than any previously published study of its kind involving astronauts or Russian cosmonauts," study author Donna R. Roberts said.

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care.ai, NVIDIA collaborate on AI-powered hospital room solutions

Just days after launching a partnership with Google, care.ai has announced that it is now working with NVIDIA to improve patient care.

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Google, care.ai join forces to build safer hospital rooms

Google and care.ai have announced a new partnership focused on bringing autonomous monitoring technology to hospitals environments.

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AI predicts risk of thyroid cancer on ultrasound images

“Machine learning is a low-cost and efficient tool that could help physicians arrive to a quicker decision as to how to approach an indeterminate nodule,” lead author of the study, John Eisenbrey, PhD, said.

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How racial bias can sink an algorithm’s effectiveness

Researchers have detected racial bias in an algorithm commonly used by health systems to make decisions about patient care, according to a new study published in Science.

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Radiologist uses virtual reality to improve thyroid nodule treatment

“This technology has incredible potential to improve care, whether it is by better training doctors to perform procedures or helping patients know what to expect when they arrive at the hospital,” Ziv Haskal, creator of the technology said.