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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AI spots 25% of interval breast cancers missed by radiologists

What’s more, the algorithm can correctly localize three out of four of the interval cancers it detects.

Brittany Nicole Weber, MD, Brigham and Women's Hospital, explains the use of opportunistic CT screening for cardiovascular disease on noncardiac exams.

Opportunistic screening with AI could be a game-changer for preventive cardiology

Brittany Nicole Weber, MD, PhD, detailed new research into the benefits of screening for cardiovascular disease in CT scans not specifically ordered for that purpose. The rise of AI has helped make opportunistic screening a huge trend in both cardiology and radiology. 

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Johns Hopkins, CareFirst partner with venture capital for ‘AI accelerator’ program

The 13-week course will be held in Baltimore sometime in March 2025. Healthcare AI startups have until Nov. 20 to apply.

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Industry Watcher’s Digest

The Department of Energy is concerned about AI’s mammoth appetite for, well, energy.

AI and patient care are top of mind for healthcare executives in 2024

C-suite surveyors: AI ‘continues to excite healthcare leaders’

AI and patient care are “top of mind” for healthcare executives in 2024. The pairing seems opportune, since the surveyed leaders see the burgeoning technology as a key tool for improving the perennial mission.

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Patient education materials get boost in readability from generative AI

Ideally, educational pamphlets for patients should be written at a sixth grade reading level, according to the American Medical Association.

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Nearly half of FDA cleared AI medical devices have not been validated on patient data

The FDA’s current draft guidance on the approval process for AI devices does not specify the type of validation the agency recommends manufacturers use. 

Researchers have found that an unexpected combination—artificial intelligence (AI) and a 3D body scanner—can evaluate a person’s metabolic health and identify significant risks of cardiovascular disease, diabetes and other adverse outcomes. In fact, the technique may prove to be more accurate than knowing a person’s body mass index (BMI) or waist-to-hip ratio.

Better than BMI? 3D body scanner uses AI to measure metabolic health

Mayo Clinic specialists have developed a new way to identify risks of cardiovascular disease, diabetes and other adverse outcomes.

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