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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Opportunities galore for those who would build Alzheimer’s caregivers a better app

The field of mHealth applications to assist nonprofessional caregivers of Alzheimer’s patients is thin, weak and in need of innovators. 

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Will virtual physicals augment yearly wellness visits—or replace them?

If COVID put telemedicine’s pedal to the metal, it was only speeding up evolutionary change fueled by advances in technology prior to 2020.

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AI combines with electricity to juice neuroscience

Mayo Clinic researchers have demonstrated an AI-based system for untangling the meandering routes taken by electric stimulation pulses delivered to a single region of the brain.

Pediatric patients engaged in VR much less troubled by pain

Virtual reality was highly effective at distracting young patients experiencing physical pain in a recent randomized trial. 

Treatable tumor models grown in the lab

The bioprinted replicas can preview a given tumor’s reaction to specific therapies and combinations thereof.

10 questions clinicians—and patients—ought to ask about every AI they encounter

Technology educators, tech-policy wonks and hospital clinical leaders from three countries have collaborated to produce a helpful guide for end-users of healthcare-specific AI tools—and the patients they serve.

3 noteworthy developments in emerging medical technologies

While big breakthroughs in healthcare AI seem to have slowed in recent weeks, those involving other hot technologies have kept the content coming for publishers of peer-reviewed medical journals.

HIMSS speakers see standards, possibly ‘nutrition labels’ in healthcare AI’s future

Freely hope for the best, but diligently prepare for the worst. Applied to end users of healthcare AI, that adage could have been a key takeaway at last week’s annual meeting of HIMSS in Las Vegas.

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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.”