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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4 key ways blockchain can help health systems

Healthcare researchers are focusing more and more on the potential benefits of blockchain technology, a trend explored by the authors of a new analysis in the International Journal of Medical Informatics.

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UK researchers use holograms to train future interventional radiologists

Experts at Imperial College London are using Microsoft HoloLens2 to help students perform CT-guided biopsy.

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AI tech behind deepfake videos creates bogus imaging results—and it could be big for radiology

Generative adversarial networks (GANs), a fairly new breakthrough in AI, are capable of creating fake images that look incredibly real.

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Some robots battling spread of coronavirus may not be needed

Numerous robots have been used by healthcare workers battling the ongoing Wuhan coronavirus outbreak—but is such a precaution always necessary?

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Smart insulin patch could ‘revolutionize’ care for diabetes patients

Researchers have developed a smart patch for insulin delivery, publishing their findings in Nature Biomedical Engineering.

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Blockchain and AI could improve China’s response to the coronavirus outbreak

Since news first broke of the coronavirus outbreak, China’s government has received a massive number of donations from the public and various healthcare organizations—but the distribution of those donations has been disorganized.

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Scientist awarded $250K for AI project slashing MRI read times

A Seattle-based researcher dramatically reduced the time necessary to read a scan from four hours down to seven minutes.

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Radiologists must ‘lean in’ to disruption, forge alliances to win in 2020, experts say

Disrupters such as Google and Walmart are turning healthcare upside down, and imaging is no exception.