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 AI tool analyzes MRI information to generate precision prostate cancer treatment

Case Western Reserve University researchers teamed up with a number of institutions, including the Cleveland Clinic and Mount Sinai Hospital, among others, to develop RadClip.

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RadNet touts AI offshoot’s early success, pinpointing cancer a year earlier than current practice

DeepHealth, a subsidiary of the Los Angeles-based imaging giant, said its novel algorithm demonstrated higher performance than a group of trained breast radiologists. 

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Nanox moves to further disrupt radiology with new AI second opinion platform

A number of other leading organizations are involved in the project, including Zebra Medical, Aidoc and Qure.ai, along with the Israeli firm's collaborative partner USARAD.

Sophisticated neural network simulates rational thought processes

Researchers have used explainable AI to break down a hypothetical animal’s foraging behaviors into measurable cognitive dynamics. They hope their success leads to a better understanding of how humans think.

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American Board of Radiology will use AI to monitor test takers during new remote exams

ABR said artificial intelligence will help determine which oral and computer-based exams to review more closely for infractions. 

New evidence reveals that COVID-19 crosses the blood-brain barrier

The breathing troubles many people experience may also be caused by the virus entering the respiratory centers of the brain, University of Washington Medicine researchers explained.

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Deep learning significantly reduces thoracic radiologists’ errors when used as a second reader

The algorithm also demonstrated “excellent” performance in spotting lung cancers missed on chest x-rays, experts wrote in Radiology: Cardiothoracic Imaging. 

New commercial partnership Cerca Magnetics develops ‘world’s most advanced’ functional brain scanner

The wearable device can scan adults and children to spot neurological disorders such as epilepsy.