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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generative artificial intelligence

What will it take to win consumer buy-in on GenAI for healthcare?

Americans aren’t OK with generative healthcare AI that was developed without physicians and is sold by vendors without track records. 

Cardiology now has more than 100 FDA cleared AI algorithms

Cardiology makes up 10% of the 692 market-cleared clinical AI algorithms in the FDA’s latest update on the number of patient-facing AI now commercialized in the U.S. Experts share their thoughts on how it is being used.

FDA has now cleared 700 AI healthcare algorithms, more than 76% in radiology

Medical imaging makes up 76% of all the FDA-cleared artificial intelligence clinical algorithms used for direct patient care.

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

ethical healthcare artificial intelligence

Ethical healthcare AI in 8 mnemonic elements

Artificial intelligence researchers are making a “great plea” to guide the ethical development and use of generative AI in medicine.

Kit Crancer RBMA president on Medicare cuts RSNA 2023.

The impact of Medicare payment cuts on radiology and patient care access

RBMA President Kit Crancer said continued cuts will result in Medicare patients losing access to care when health systems and providers determine it is no longer economical.

Continuous Quality Improvement

How to tap QMS methodologies for speeding AI adoptions

It may hold that applying established people/process/technology principles can help hospitals move AI from experimental research settings to regulated clinical practice.

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UnitedHealth faces lawsuit over AI algorithm that allegedly denied care to elderly patients

A lawsuit in federal court claims an AI algorithm used by the insurer systematically denied elderly patients’ claims for extended care.

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Payment cuts and beyond: Key takeaways for cardiologists from the 2025 Medicare Physician Fee Schedule

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As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”