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The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.

Attendees at RSNA 2022 in the Sectra booth learning about how enterprise imaging can help with workflows and connect numerous departments together for imaging. Photo by Dave Fornell

Radiology is going though a period of disruption with a growing radiologist shortage, decreasing reimbursements and increasing numbers of exams, making workflow efficiency a critical concern.

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Some believe it could make their jobs easier, while others perceive AI as a threat to their employment, new survey data suggest.

And with the help of deep learning techniques, it provides diagnostic quality imaging.

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Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.