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 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.

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China, Israel investing big in the medical imaging AI market

Reenita Das, a partner and senior vice president of healthcare and life sciences at Frost & Sullivan, wrote a new column examining the efforts being made by China and Israel to become leaders in the medical imaging artificial intelligence (AI) market.

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High-resolution image may be key to treating Zika virus

Researchers have captured the highest-resolution image to date of the Zika virus, which caused a global health crisis in 2015, and left thousands of babies with serious birth defects. The research team believes the finding may aid in designing a vaccine to fight the virus.

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8 key clinical applications of machine learning in radiology

Artificial intelligence (AI) and machine learning often get lumped together, but as the authors of a new Radiology commentary explained, the two terms are far from interchangeable. While machine learning is a specific field of data science that gives computers the ability to “learn” without being programmed with specific rules, AI is a more comprehensive term used to describe computers performing intelligent functions such as problem solving, planning, language processing and, yes, “learning.”

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FDA-approved AI echocardiogram software bests cardiologists in reducing LVEF variability

A deep-learning software that can automatically calculate left ventricular ejection fraction (LVEF) with less variability than a cardiologist recently received approval from the U.S. Food and Drug Administration (FDA).