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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Researchers succesfully open blood-brain barrier with focused ultrasound in Alzheimer’s patient

Researchers from the West Virginia University (WVU) Rockefeller Neuroscience Institute in Morgantown performed the world's first FDA-approved focused ultrasound procedure during a phase II trial to treat Alzheimer's Disease, according to a university press release.

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ACR’s Allen on why AI use cases are so important to radiology

On Oct. 26, the American College of Radiology Data Science Institute (ACR DSI) announced the release of standardized artificial intelligence (AI) use cases designed to improve AI adoption in radiology. Why, exactly, are these use cases so vital to the specialty?

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ACR Data Science Institute releases use cases to advance AI imaging

The American College of Radiology Data Science Institute (ACR DSI) announced Oct. 26 the release of a series of standardized artificial intelligence (AI) use cases to advance imaging in AI.

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ACR releases use cases to advance the development of AI adoption

The American College of Radiology (ACR) Data Science Institute (DSI) announced the release of its first series of freely available standardized artificial intelligence (AI) use cases to increase the utilization of AI adoption in medical imaging.

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FDA approves first Microsoft HoloLens augmented reality system for surgical use

The technology projects 2D, 3D and 4D images of patients interactively by overlaying them onto the patient's body, according to a Novarad press release published Oct. 24.

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AI detects missed aneurysms in MR angiography with increased sensitivity

A team of Japanese researchers found a deep learning-based algorithm used to analyze time-of-flight (TOF) MR angiography images improved cerebral aneurysm detection with an average sensitivity of 92 percent compared to initial radiology reports, according to research published Oct. 23 in Radiology.

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Duke University Hospital launching AI system to treat sepsis patients

The growth of artificial intelligence (AI) isn’t going unnoticed, and Duke University Hospital is the latest healthcare organization using it to help treat patients. The North Carolina-based hospital recently announced its launching a new AI-system that can identify sepsis cases, according to a report by IEEE Spectrum.

AI system could boost survival chances for sepsis patients

A newly-developed artificial intelligence (AI) system may be the answer for treating and preventing fatal outcomes for sepsis patients, according to a recent study.