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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artificial intelligence

Provider execs are feeling pushed by AI buzz—and starting to do something about it

Almost 80% of provider organizations spent more on IT systems and software this year than last, yet only 6% have a plan in hand to incorporate generative AI into their digital ecosystem.

artificial intelligence robot evaluates healthcare data

AI improves the delivery of ultrasound-guided regional anesthesia

Researchers have identified yet another way AI can boost patient outcomes, tracking the effectiveness of a new scanning device from Intelligent Ultrasound. 

Steven Lester, MD, Mayo Clinic, explains how AI will soon revolutionize the echo lab. Photo by Dave Fornell. #ASE #ASE360

How AI can make echo labs more efficient

Advances in AI technology are expected to give physicians more time to provide high-quality care to their patients.

Arzhang Fallahi, MD, and David Hsi, MD, discussing imaging-based aortic stenosis screening

Q&A: Cardiologists explore the potential impact of a screening program for aortic stenosis

We already screen patients for breast cancer and lung cancer on a regular basis. Why not establish screening programs for aortic stenosis?

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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. 

breast cancer mammography mammogram

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. 

industry watchers digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days. 

artificial intelligence future of healthcare elsevier

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.

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