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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MIT publishes dataset of 350K chest x-rays to help develop AI models

The Massachusetts Institute of Technology (MIT)’s Laboratory for Computational Physiology has published their MIMIC-Chest X-Ray Database (MIMIC-CXR)—a collection of more than 350,000 chest x-rays associated with 227,943 imaging studies sourced from Beth Israel Deaconess Medical Center in Boston.

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PET scans reveal women’s brains appear 3 years younger than men’s

With the help of PET scans, researchers have found women’s brains appear to be three years younger than men’s. The findings, published in Proceedings of the National Academy of Sciences, may explain why women tend to remain mentally sharper longer than men.

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AI takes 20 seconds to find lung nodules on CT scans

The system, named Doctor Alzimov, after the Russian-born science fiction writer, can be installed on any computer and can find nodules as small as 2 millimeters.

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Report: 2018 investments in AI imaging startups more than double previous year's

In 2018, capital investments in startup companies developing medical imaging AI solutions reached almost $580 million—more than double the 2017 amount of $270 million, according to a new market report published Jan. 31 by Signify Research.

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14-layer CNN accurately predicts breast cancer molecular subtype

A 14-layer convolutional neural network (CNN) trained on MRI and pathology data accurately predicted the molecular subtype of breast cancers, according to a Jan. 31 study published in the Journal of Digital Imaging. The method may help personalize treatment plans for the disease.

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AI system detects lung nodules in CT images in 20 seconds

A research team out of Russia says it has developed a new artificial intelligence (AI) system for treating lung cancer patients that can interpret CT results in 20 seconds.

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Virtual reality surgery promotes patient engagement in surgical planning

At JFK Medical Center in Edison, New Jersey, patients can have a 360-degree, three-dimensional (3D) tour of the inside of their own bodies before surgery with the help of virtual reality technology at the center's Neuroscience Institute, USA Today’s MyCentralJersey.com reported on Jan. 31.

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AI may cause anxiety, but medical student interest in radiology still growing

Recent research has suggested that artificial intelligence (AI) may be keeping students from considering radiology as a career. The author of a letter to the editor published in Academic Radiology, however, noted that interest in radiology appears to be growing.