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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Micro-CT used to reconstruct 3.6M year old brain

What does the brain of 3.67 million year old hominin known as Little Foot look like? Thanks to Micro-CT scans of the ancient fossil, researchers reconstructed its brain and are learning more about the organ’s early evolution.

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New study will use VR headsets to pinpoint individuals at risk of Alzheimer’s

A new study lead by a neuroscientist at the University of Cambridge in the U.K. will utilize virtual reality headsets to pinpoint individuals who may be at risk for developing Alzheimer’s disease, according to a recent online report by The Observer.

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CT-based augmented reality increases patient safety during robotic thyroid surgery

South Korean researchers have developed a technique that may enhance the safety of robotic thyroidectomy procedures by overlaying augmented reality (AR) models based on CT images onto patients during surgical intervention, according to research published in the December issue of Annals of Surgical Treatment and Research.

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‘Stunning’ mouse kidney diffusion tensor MRI wins photo competition

The winning image, entitled “Kidney Rainbow”, was selected from 373 entries and acquired by Nian Wang, PhD, assistant professor of radiology at the Center for In Vivo Microcopy at Duke University in Durham, North Carolina.

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Can AI free-up time for more doctor-patient interactions?

The desire to deliver patient-centered care drives many caring and high-achieving individuals to pursue a career in medicine, and AI can unburden today's physicians so they can stay focused on that primary goal.

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AI, microscopic imaging mobile device detects parasitic infections in 20 minutes

The new platform—which can automatically detect motile parasites in bodily fluids and analyze more than three milliliters of a bodily fluid sample in 20 minutes—provides images clearer than those from traditional optical microscopy, according to research published online Dec. 12 in the journal Light: Science & Applications.

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Can bullying lead to structural changes in the brain?

Consistent bullying can take a great mental toll on teenagers. A new study published in the journal Molecular Psychiatry found those who are regularly victimized may be sustaining physical changes to the brain.

MIT's deep learning technique could illuminate biological features in low-exposure images

An artificial intelligence (AI) technique developed by engineers at MIT in Cambridge, Massachusetts may be used to illuminate transparent features in medical images taken with little to no light. The research was published online Dec. 12 in the journal Physical Review Letters.

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