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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AI helps radiologists spot lung tumors, drop false positives

A deep learning software tool powered by artificial intelligence has been proven to boost clinicians’ ability to detect lung cancer on chest x-rays. 

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RadNet partners with Silicon Valley AI vendor to dramatically boost breast cancer care

The investor-owned, Los Angeles-based provider announced Thursday, Nov. 7, that it’s teaming with Whiterabbit.ai to further spread AI tools across its 340 outpatient centers. 

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AI predicts when breast lesions will progress to invasive cancer

Case Western Reserve scientists have developed a tool that may help predict whether precancerous breast lumps will worsen, heading off the need for unnecessary radiation treatment. 

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Radiomics model beats radiologists at categorizing BI-RADS 4 lesions

Mammography does a good job detecting calcifications, but its specificity for distinguishing benign from malignant findings remains low.

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AI rivals radiologists in finding brain hemorrhages

A deep-learning algorithm can be as effective—or more effective—than radiologists in finding intercranial hemorrhages on CT scans.

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AI solution for Canon Medical’s CT systems receives FDA approval

Canon Medical Systems USA announced Monday, Oct. 21, that the Advanced Intelligent Clear-IQ Engine (AiCE) for its ultra-high resolution CT scanner has gained FDA approval.

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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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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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Around the web

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Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

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Global shortage of nuclear imaging isotopes may be over

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Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.