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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RSNA 2018: Vijay Rao wants radiologists to embrace AI

During her speech Sunday, Nov. 25, at the opening session of RSNA 2018 in Chicago, RSNA President Vijay Rao, MD, noted that today's radiologists will be empowered by new technologies, not replaced by them. 

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RSNA 2018: Behind the scenes at this year's Machine Learning Showcase

Artificial intelligence (AI) is changing how radiologists think about and perform studies, so it’s no surprise AI and machine learning will take center stage this year at RSNA 2018 in Chicago.

Aidoc, SaferMD partner to offer AI-based solution for increasing MIPS scores

Aidoc and SaferMD are joining forces for a new solution that will use artificial intelligence (AI) to improve clinical results and give radiologists higher Medicare Merit-Based Incentive Payments System (MIPS) scores.

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AI helps radiologists detect more breast cancers

Artificial intelligence (AI) support systems for reading mammograms can improve a radiologist’s ability to detect cancers, according to a new study published in Radiology. Using the system, the authors added, does not lengthen the overall reading time.

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Lung cancers efficiently identified, characterized with novel AI approach

Researchers at the State University of New York at Stony Brook have demonstrated a deep-learning algorithm that can quickly diagnose early-stage lung cancer on CT scans by combining computerized self-trained tumor identification with engineered identification of specific tumor features.

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Viz.ai artificial intelligence stroke software helping doctors win race against time

Sponsored by Viz.ai

The Southeast Regional Stroke Center at Erlanger, based out of the University of Tennessee’s Erlanger Medical Center in Chattanooga, receives referrals from more than 40 hospitals and treats more than 2,500 strokes each year. Patients are rushed to their internationally-recognized center, more commonly referred to as the Erlanger Stroke Network, both day and night, some arriving by ambulance and others by helicopter.

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4 areas where AI is having its biggest impact on breast imaging

Artificial intelligence (AI) technologies are advancing at a rapid rate and starting to make a direct impact on breast imaging. There is still a lot of work to be done, however, before AI can truly be trusted with making decisions that may impact a patient’s survival, according to a new commentary published in the American Journal of Roentgenology.

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Fujifilm to host AI symposium, debut new initiative at RSNA 2018

Fujifilm Medical Solutions USA will host an educational symposium highlighting the influence of artificial intelligence (AI) and present its new AI initiative at RSNA 2018 in Chicago.

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