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. 

RSS icon

Large survey shows radiologists need AI education to keep job concerns at bay

The less radiologists know about AI, the more likely they are to believe it may displace them from their clinical pursuits.

Pain impressively modulated by—and better understood with—immersive VR

Virtual reality can help quell perceptions of pain as well as dampening the prickling sensations that patients with nerve damage sometimes experience upon being touched.

AI may help liberate parenting from ‘technoference’

A new survey of around 300 youngish parents has found almost two-thirds worried they’re spending so much time distracted by electronic devices that their children’s development may be at risk.

Thumbnail

Robots almost as good as clinicians at pleasing patients in the ER

Emergency-room patients are happy to receive care from a physician interacting remotely over a tablet computer mounted on a dog-like robot.

AI identifies FDA-approved drugs warranting novel testing against Alzheimer’s

Harvard researchers have used machine learning to find molecular features in existing drugs that may be effective in warding off or treating Alzheimer’s disease.

8 principles for AI ethics in pathology, other specialties

Clinical laboratories store a motherlode of objective and structured patient data well primed for mining with AI. Given this reality, pathologists and medical laboratorians must set and abide by principles guiding the ethical use of the technology.

Computer vision holds promise for the ICU but may face opposition from clinicians, patients, families

A survey of ICU doctors and nurses at Mayo Clinic reveals widespread concern over lawsuits connected to the proposed use of video recording and video recognition with computer vision.

knee x-ray

AI decision aid improves patient outcomes

An AI decision aid significantly improved decision quality, level of shared decision-making, patient satisfaction and functional outcomes in patients compared to an education-only approach, according to a new study in JAMA.

Displaying 385 - 392 of 958

Around the web

Cardiovascular Business
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. 

AI in Healthcare
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.”