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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Academic health system working on AI dictation feature for Epic

Chicago-based Rush University System for Health is collaborating with Suki on its development. The two previously partnered on a pilot for an AI clinician assistant, which has since been rolled out across the health system.

primary care provider clinician physician doctor

Primary care is primed for AI. But is AI aligned with primary care?

Fewer than one-third of primary care clinicians have a say in selecting the AI products their institutions expect them to fold into their clinical workflows. That’s a problem. 

Jason Poff, MD, director of innovation deployment for artificial intelligence (AI) at RadPartners, explains the five-step process he uses to evaluate medical imaging AI.

5 steps for evaluating radiology AI applications

Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI. 
 

Good Pixel Smartwatch Loss of Pulse.

FDA clears Google smartwatch tech that calls 911 when a user’s heart stops

Google worked with AI specialists, cardiologists and even stunt performers to develop its new smartwatch feature.

AI pain management

Machine learning vs. bodily pain: 5 points of promise and challenge

We have seen the future of pain management, and it is in automated assessments aided by AI.

Generative AI hospital comparison shopping

Generative AI isn’t changing everything for patients and providers—but it’s not leaving much unaffected, either

Generative AI is altering the way healthcare consumers size up hospitals, group practices and individual providers. But the comparison shopping would pose a challenge to healthcare organizations even if AI hadn’t entered the picture. 

artificial intelligence AI large language model antibiotics

Antibiotics prescriptions: There’s a large-language model for that

Add this to the list of high-risk healthcare activities to which generative AI can contribute: prescribing antibiotics. 

AI artificial intelligence stethoscope doctor

LAAO or DOAC? Mayo Clinic AI helps guide treatment of AFib patients

It can be challenging to know which AFib patients are the best candidates for LAAO. A new algorithm out of Mayo Clinic aims to address that problem. 

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Around the web

Cardiovascular Business
FDA announces new recall of Abbott heart pump accessories over significant safety risks

The mobile power units of certain HeartMate 3 and HeartMate II LVADs have been experiencing “sudden, unexpected performance issues” such as turning on, off or even restarting with no warning. These issues can potentially be fatal, according to an alert shared by the FDA.

Radiology Business
Tariffs threaten imaging access for patients, RBMA warns

Radiology practices are already operating on razor thin margins, with price increases prompting calls for congressional action to prevent further damage. 

Radiology Business
Chinese radiology vendors dodge high tariffs with US-based factories

United Imaging and other manufacturers that have established American factories may remain insulated from the trade war.