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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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.

AI artificial intelligence stethoscope doctor

5 key criteria for AI prediction models in cardiology

AI-based prediction models have shown significant promise, but many are still flawed in a way that limits their value. 

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.  
 

Healthcare artificial intelligence

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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.

congressional hearing on artificial intelligence

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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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