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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AI, imaging project to improve precision medicine for treating concussions

Researchers involved in a national multi-year, multi-center project are challenging the U.S. Department of Energy's supercomputers while analyzing brain imaging data via artificial intelligence (AI) to improve treatment of traumatic brain injury (TBI), according to a July 3 release.

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MRI-compatible ultrasound system may improve flexibility

A new ultrasound prototype utilizing an optical—rather than electronic—system may provide flexibility in simultaneously pairing the modality with other imaging techniques, such as MRI. Experts say it could provide doctors more options for using ultrasound to diagnose and treat patients.

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Latest round of man-vs-machine goes to AI in recognizing brain tumors

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.

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AI system, physicians square off in imaging contest

An artificial intelligence (AI) system faced-off against 15 top physicians from across China to see which could produce the most correct diagnoses in the least amount of time, Ecns.cn reported.

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AI system beats team of 15 doctors in competition

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.

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Study finds roasted barley a superior contrast agent for imaging swallowing disorders

When researchers bought more than 200 types of tea, chocolate, herbs and other items they weren’t planning meals for the week. Instead, the team was searching for a contrast agent for imaging patients with swallowing disorders—they landed on barley.

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Researchers explore AI’s potential to analyze medical images

A team of researchers from Singapore and the United States wrote about how their recent work with artificial intelligence (AI) could help healthcare providers with image analysis, sharing their analysis in a study published by Nature Medicine.

Florescence, microscopic imaging may expand view of cellular processes inside tumors

European researchers have developed a robust macroscale imaging technique based on florescence lifetime imaging microscopy (FLIM) that can analyze cellular processes up to four centimeters in size.