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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Algorithmic app could head off suicides of high-risk adolescents

Researchers have demonstrated the feasibility of AI-based smartphone interventions for young people who have attempted suicide and may try again.

3 steps toward setting and sustaining standards for medical AI

If AI for medical diagnostics is to lift the health status of populations—and thus fulfill its implicit global promise—it’s going to need stronger regulatory guidance than it’s gotten to date. 

Facial recognition AI measures success of browlifts

Machine learning can deliver an objective appraisal of cosmetic surgery’s success at making aging faces appear younger and happier, according to Mayo Clinic researchers.

Diabetes AI adjustable for surveilling other public health concerns

Researchers have used machine learning to track diabetes at the population level.

‘Smart’ EHR taps AI to guide not just info retrieval but also treatment planning

AI developers have worked with experts in human-computer interaction to design an EHR that shows clinicians all information pertinent to the patient case they’re working on—and only that info.

AI hurts population health status when it’s used to longitudinally hook people on porn

The rate of harms to the mental and physical health of individuals who frequently use pornography is accelerating, and AI is playing a key role in driving porn addiction as well as “escalation to more violent material.”

Deep learning uncovers visual, neural learning differences between children and adults

Baseball Hall of Famer Yogi Berra famously stated that “You can observe a lot just by watching.” New research shows just how right he was.

AI helps push medical gear from the past into the digital present, future

Researchers have combined AI with a common camera and a laptop computer to virtually modernize older-tech pumps and monitors positioned at patients’ bedsides.

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Q&A: MedAxiom CEO explores key trends in cardiologist, cardiovascular surgeon compensation

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

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

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

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A modest proposal to rally AI regulators around a simple game plan

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.”