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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‘Collective super intelligence’: Radiologists, AI join forces to improve chest x-ray interpretations

Experts have long talked about an ideal future in which radiologists work alongside AI. A new platform may have the answer, combining the intelligence of man and machine to better diagnose pneumonia.

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Is VR-based CPR training effective?

Virtual reality (VR) is being used more and more in healthcare. VR-based CPR training, however, remains inferior to face-to-face training, according to new research published in JAMA Cardiology.

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fMRI reveals how the brain adapts after half of it is removed

Brain regions that had been dedicated to more specific tasks adapted to take on more general functions, according to a report from the New York Times.

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In concert: Combining multiple machine learning models in radiology boosts prediction performance

Researchers with several academic institutions recently made that discovery using dozens of submissions from the RSNA Pediatric Bone Age Machine Learning Challenge. 

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Winterlight Labs raises $4.2M for AI-powered cognitive health solution

Winterlight Labs, a Toronto-based healthcare technology company, has raised $5.6 million CAD ($4.2 million USD) in a new funding round led by Hikma Ventures.

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3D printing, VR help restore toddlerhood to neuro patient

After completing numerous dry runs on a 3D printed skull and in a virtual reality suite, Stanford neurosurgeons have performed the first-ever minimally invasive tumor resection in the brain of a small child.

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Upcoming radiology podcast challenges imaging experts to step up and question the negative AI hype

In an exclusive conversation with HealthImaging, John D. Banja, a professor of medical ethics at Emory University, discusses plans to launch a series of audio chats with radiologists, exploring one of the profession's stickiest issues.

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In radiologist-rich US, AI’s usefulness as triage tool would be challenging, minimal, expert argues

AI triage could prove to be pivotal elsewhere, however, by cutting the time radiologists spend analyzing cases and then prioritizing those that are most urgent, one expert noted.