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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FDA aiming to modernize 510(k) process that many radiology devices must go through

The administration also is accepting comments on the draft guidelines and plans to host a webinar on Oct. 26. 

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AI proves a qualified second reader for screening mammography

According to one radiologist, the continued success of AI could make second reads for screening mammograms a thing of the past. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days. 

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Global survey finds doctors, nurses all in with healthcare AI

Almost half of clinicians around the world, 48%, believe it’s a good thing for AI to help direct care pathways. The broad buy-in is striking since, in the present year, only 11% of clinical decisions are assisted by AI tools.

Purvi Parwani, MD, director of echocardiography, Loma Linda University Medical Center, explains the trend where heart failure imaging guidelines are driving a rising use of mixed multimodality imaging. #ASE #ASE2023

Multimodality imaging helps cardiologists manage heart failure patients—with an assist from AI

Purvi Parwani, MD, discussed the trend toward multimodality imaging for heart failure management. All modalities have their own weaknesses, she explained. 

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GE HealthCare, Mass General Brigham partner to create AI algorithm for improving radiology operations

The Radiology Operations Module optimizes scheduling, reduces costs and frees up providers from time spent on administrative work.

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New study may provide model for assessing AI performance in real-world settings

“It’s vital that imaging centers have a process in place to provide ongoing monitoring of AI once it becomes part of clinical practice,” one expert noted. 

Techsomed VisAble.IO 3D Ablation Assessment view

FDA clears AI software for aiding interventional radiologists during image-guided procedures

Israel-based developer Techsomed said its VisAble.IO product can increase treatment precision by helping physicians confirm ablation zones. 

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