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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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.

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Two companies earn FDA approval for AI-powered tools to help imaging professionals

Those include an AI offering from Oxford, England-based Ultromics, which automates cardiac analysis to help with early detection of cardiovascular disease.

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Penn researchers want to know how opioids affect brain development via neuroimaging

A pair of Penn researchers will scan 100 awake 3-5 year old children, comparing the quality of traditional MRI methods to those taken using a motion-correction technology to better understand the connection between opioids and brain development.

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Gadolinium-enhanced MRI helps diagnose painful shoulder condition

Polymyalgia rheumatica is a musculoskeletal disorder that causes aching and stiffness in the upper arms, neck, lower back and thighs and can be difficult for clinicians to confidently pinpoint since its symptoms occur in many other rheumatic diseases.

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AI helps NIH researchers evaluate stem cell-derived tissues

Researchers working for the U.S. government have used deep learning to evaluate stem cell-derived tissue samples, sharing their findings in the Journal of Clinical Investigation.