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. 

Radiological AI revisited from the consumer’s-eye view: ‘People need to stop calling pattern recognition artificial intelligence’

By now it’s a difficult-to-dispute likelihood: AI won’t replace doctors making diagnoses, but doctors who use AI will displace doctors who don’t use AI. The hypothesis gets a fresh airing out from the vantage point of the general public. 

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Deep learning model predicts Alzheimer's using routine MRI exams

When put to the test, the new model was able to predict Alzheimer’s risk with 90.2% accuracy.

Large study finds high rates of nonadherence to statin recommendations; women especially averse

Many patients who would clearly benefit by lowered LDL cholesterol levels are choosing to forgo first-time recommendations for statin regimens, according to a population-level study. 

Academic envelope-pushers rev up biocomputing, OI and ‘intelligence in a dish’

Does the future of digital healthcare lie with biocomputers powered by engineered cultures derived from human brain cells? If so, it’s already underway in Baltimore.

Large language AI: It’s here. It’s soon to be everywhere. Get used to it.

ChatGPT and similar technologies coming down the medical pike have far to go before they’re reliable sources of accurate and appropriate health information. That doesn’t mean they’re non-factors now.  

Ultra-high-res MRI Reveals Migraine Brain Changes

Hackensack Meridian teams up with AI specialists for brain tumor care

The partnership is just the latest example of AI technologies being adopted in the healthcare space.

artificial intelligence AI deep learning

AI model uses DNA to predict AFib, heart failure

Scientists were able to identify a total of 21 genes linked to cardiovascular conditions such as AFib and heart failure.

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6 ways radiologists can use ChatGPT

Worried that AI is coming to take over radiology jobs? Instead, a recent paper suggests, radiologists should start using it to their advantage.