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 ways imaging informatics is central to AI in radiology

“With the ability to understand each of the different domains and translate between the experts in these domains, imaging informaticists are now essential players in the development, evaluation and deployment of AI in the clinical environment.”

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Dynamic duo: AI teamed with radiologist diagnoses breast cancer with 90% accuracy

Researchers trained the machine by feeding it almost 230,000 digital mammography exams and more than 1 million images.

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AI detects changes ‘invisible’ to humans, helps radiologists ID breast cancer

Trained on nearly 1 million screening mammography images, researchers from New York University found their algorithm could push radiologists’ ability to accurately identify breast cancer to nearly 90%.

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Battling helplessness: Experts urge radiologists not to sit on the sideline as AI takes hold

Researchers are urging radiological professionals to stay visible and active as their institutions incorporate artificial intelligence into their imaging practices. 

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AI can help radiologists ID difficult pneumothorax cases

"The AI we use works almost like magic—and it will help radiologists save lives," said Antonio Sze-To, a postdoctoral fellow who worked on the project.

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Microsoft, Nuance using AI to ‘power the exam room of the future’

Microsoft and Nuance Communications announced Thursday, Oct. 17, a collaboration on ambient clinical intelligence (ACI) solutions designed for healthcare providers.

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UCSF launches ‘Intelligent Imaging Hub,’ targets opioid addiction with grant money

UCSF’s Center for Intelligent Imaging will partner with Santa Clara, California-based NVIDIA to help build AI tools that can be used in everyday practice.

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King’s College London, NVIDIA launch federated learning system for neural networks

Santa Clara, California-based NVIDIA and King's College London are teaming up to create a new federated learning system to advance medical imaging research.