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. 

eye vision

American College of Radiology links with ophthalmologists to expand AI efforts into eyecare

ACR is collaborating with the American Academy of Ophthalmology on the initiative, adding new data and use cases to its AI-LAB platform.

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Radiologists want ‘immediate’ action to ensure AI is safe, effective in younger patients

Doctors specifically called on Congress and the Food and Drug Administration to improve existing regulatory frameworks and incentivize more stringent testing in this underserved population.

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Want a more accurate AI model for predicting CVD? Feed it social data

Researchers stressed that clinicians have an opportunity to improve their machine learning models by providing data on specific social and environmental factors. 

Automated tool labels 120K brain scans in under 30 minutes, holding ‘enormous’ potential for AI

This tall task would typically take years to complete manually, imaging experts explained.

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RSNA launches new program to certify radiologists in artificial intelligence

The Imaging AI Certificate will allow rads to work at their own pace, covering everything from AI basics and workflow improvements to how algorithms are built and programmed.

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Registration now open for RSNA 2021 in Chicago following COVID-19 hiatus

The world’s largest medical imaging conference will return to Chicago's lakefront on Sunday, Nov. 28, after the pandemic forced its in-person cancellation in 2020. 

Coronary CT imaging artificial intelligence firm HeartFlow to go public in $2.4B deal

The Redwood City, California, company uses CCTA images to create personalized 3D models of the heart and sees a potential $50B market for its products following the transaction.

Explainable AI’s pros ‘not what they appear’ while its cons are ‘worth highlighting’

Not so fast with explainable AI in healthcare, warns an international and multidisciplinary team of academics.