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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California team gains insight into how the brain stores time-related information

A team at the University of California, Irvine (UCI) gained new insights into how the brain stores information related to time with the help of fMRI and HBO’s “Curb Your Enthusiasm.”

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Brain MRI reveals cannabis may impact brain development

"The implication is that this [change in gray matter] is potentially a consequence of cannabis use. You're changing your brain with just one or two joints. Most people would likely assume that one or two joints would have no impact on the brain," said Hugh Garavan, PhD, senior author of the study and professor of psychiatry at the University of Vermont.

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Washington scientists test elderly care robot

Washington State University (WSU) scientists are testing a mobile robot designed to help care for senior citizens with health limitations who live on their own.

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NHS hopes AI can help make up for ongoing radiologist shortage

Various companies are working with the National Health Service (NHS) in England to see if their artificial intelligence (AI) technology can identify signs of breast cancer as well as radiologists, according to a report from the Financial Times. 

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Machine learning hype is increasing among imaging professionals, report finds

According to a new market report from Reaction Data, 77 percent of medical imaging professionals believe that machine learning is “important," compared to 65 percent in 2017. Additionally, 59 percent of respondents reported they “understand” machine learning in 2018, compared to 52 percent in 2017.

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AI-driven robot industry to approach $19B market by 2020

Thanks to the rise of AI technologies and more healthcare agencies embracing assistive robots, the personal robotics industry is expected to be an $18.85 billion market opportunity by 2020, according to a report by Frost & Sullivan.

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AI beats experts at detecting cervical precancer

A newly developed deep learning algorithm more accurately detected cervical precancer than highly experienced physicians and current testing methods, reported authors of a Jan. 10 study published in the Journal of the National Cancer Institute.

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International team uses AI to uncover cellular makeup of various brain regions

With data obtained from fMRI scans and machine learning, National University of Singapore-led (NUS) researchers have a better understanding of the cellular architecture of the brain.