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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Singapore combatting coronavirus with AI-powered screening system

A new AI-powered temperature screening system is hitting the streets of Singapore to help fight against the ongoing coronavirus (COVID-19) outbreak.

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New ‘time machine’ tracks pancreatic cancer growth

Researchers have developed a new “time machine” capable of mimicking the behavior of pancreatic cancer, sharing their findings in Small.

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Making history: First AI-developed drug to be tested in human trials

DSP-1181, a pharmaceutical drug created by AI technology, has entered phase 1 clinical trials in Japan. This is the first time an AI-made drug has reached this point in the development process.

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MRI reveals brain volume abnormalities in schizophrenia, other mental illnesses

Researchers from around the world pooled together imaging data on patients with a rare genetic condition to create the largest neuroimaging study of DiGeorge syndrome.

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Meet the robot that draws blood better than humans

In the near future, patients may have their blood drawn and tested by an advanced robot—and it’s a move that would benefit both patients and healthcare providers.

New MR approach could revolutionize Alzheimer’s research, diagnosis

Magnetic resonance texture analysis is part of a growing field that uses math to detect changes in imaging signals, and could be used to develop neuroimaging biomarkers to better understand the disease.

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Getting more eyes on mammograms bolsters cancer care—and they don’t need to be human, experts say

Discussing discordant findings on breast cancer screening exams improves care, and international experts believe the U.S. should reconsider its "single-reader paradigm," they wrote in Radiology.

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Artificial intelligence bolsters radiologists’ ability to pinpoint breast cancer

South Korean researchers recently tested the clinical tool in a retrospective study of more than 170,000 mammography exams.