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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Risk estimation algorithm reduces noise in MR images

Pairing the established denoising algorithm NeighShrink with chi-square unbiased risk estimation (CURE) was superior to conventional methods at reducing noise in MR images, reported researchers of a study published in Artificial Intelligence in Medicine.

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3D ultrasound helps radiation oncologists treat gynecological cancers

International researchers have created a new ultrasound probe capable of delivering more precise treatment to women with gynecological cancers, reported authors of a feasibility study published in the Journal of Medical Imaging.

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GE Healthcare’s AI platform to integrate with ACR AI-LAB

The American College of Radiology (ACR) Data Science Institute (DSI) just launched its ACR AI-LAB software platform and has already secured a key collaborator: GE Healthcare.

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ACR launches new AI software platform, announces partnership with GE

The American College of Radiology (ACR) Data Science Institute (DSI) has launched the ACR AI-LAB, a free software platform that will help radiologists collaborate to create, validate and use AI. The college also announced it is partnering with GE Healthcare on the ACR AI-LAB.

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Soft printable robots may help care for the elderly with a gentle touch

Industrial and biomedical engineers at Purdue University have demonstrated a way to print devices in 3D such that they squeeze, move and otherwise feel like human hands. The team’s hope is to create soft robots that can help care for elderly patients with a human-like touch when nursing shortages become the norm.

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How machine learning will fundamentally change the lives of healthcare providers

Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.

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Edison Award recipients include some high-tech healthcare innovators

The nonprofit Edison Universe has named the winners of the 2019 Edison Awards, recognizing innovations of various sorts in industries of all kinds. Some of the best breakthroughs involve high tech in healthcare.

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The blame game: Who takes responsibility for AI’s mistakes?

Recent advances in AI have enabled positive change in numerous areas, including public safety, sustainability and healthcare. But when algorithms go awry—as some inevitably will—who should shoulder the blame?