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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UC Irvine launches new AI center for diagnostic medicine, imaging

The center will serve as a common space for University of California, Irvine (UCI) faculty, physicians and researchers to collaborate on translating artificial intelligence (AI)-based concepts into clinical tools to improve all aspects of healthcare.

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AI predicts depression, bipolar medication response with 92% accuracy

A new artificial intelligence (AI) algorithm developed by researchers from the Lawson Health Research Institute in Ontario, Canada and The Mind Research Network in Albuquerque, New Mexico, could help predict whether a patient will successfully respond to medication for a mood disorder.  

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Aidoc gains FDA clearance for AI solution that detects suspected ICH cases, alerts radiologists

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced Wednesday, August 8, that it has gained FDA clearance for its brain solution that helps radiologists flag acute intracranial hemorrhage (ICH) cases using artificial intelligence (AI).

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Novel preclinical MRI coil produces images with 3 times the resolution

A team of Russian researchers has developed a novel MRI coil capable of producing images with three times the resolution of commercial varieties, according to a recent NMR in Biomedicine study.

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Canon Medical Research Europe awarded $180K to develop AI cancer imaging tool

Canon Medical Research Europe, based in Edinburgh, Scotland, was awarded $180,000 to develop an artificial intelligence (AI)-based medical imaging technology prototype that can recognize, assess and measure asbestos-related cancer tumors, according to a report published Aug. 6 by Scottish Business Insider.

Study: New process could help small robots reach tight spaces

Researchers have developed a process to build soft materials on a millimeter scale that may help small robots gain access to unreachable places inside the human body for medical procedures. 

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AI proves 93% accurate in identifying colorectal cancer

Researchers developed artificial intelligence (AI) software to identify colorectal tumor in histology images.

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AI identifies tumors in colorectal cancer patients with 93% accuracy

Researchers from South Korea have used artificial intelligence (AI) to successfully identify tumors in histology images obtained from colorectal cancer (CRC) patients, sharing their findings in the Journal of Digital Imaging.