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. 

artificial intelligence malpractice

Against malpractice for using clinical AI, the best defense is a good offense

If a clinician you care about counts on AI to help make medical decisions, remind them: Tort law principles hold that doing so means risking liability should a patient sue over harm done.

April 25, 2024
Lars Svensson, MD, PhD

Q&A: Cleveland Clinic’s Lars Svensson previews AATS annual meeting

Svensson, a prominent voice in cardiothoracic surgery, said he has seen a rise in enthusiasm ahead of this year's meeting.

April 23, 2024
Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

April 23, 2024
kaiser permanente nurses protest AI in healthcare

Overheard around the Kaiser nurses’ protest over AI in healthcare

Healthcare leaders around the U.S. might want to take notice of what’s going on in the streets of San Francisco this week.

April 23, 2024
Protest

Nurses gather at Kaiser hospital to protest rapid adoption of AI

The California Nurses Association said AI is largely unregulated, untested and poses a serious threat to patient safety.

April 22, 2024
bipartisan house task force on artificial intelligence

House to hold hearing on new patient data rights legislation

The bipartisan American Privacy Rights Act (APRA) would allow consumers to access and delete much of their personal data being held by private companies.

April 19, 2024
stanford institute for human centered artificial intelligence

10 things you may have suspected about AI but didn’t know for sure till now

All around the world, people are increasingly wise to the advance of AI. More than a few are growing ever more uneasy about it. And yet workers equipped with AI are both more productive and better at their jobs.

April 18, 2024
physician acceptance of generative AI

Physicians are embracing clinical GenAI—in theory, at least

More than two-thirds of U.S. physicians have changed their minds about generative AI over the past year. In doing so, the re-thinkers have raised their level of trust in the technology to help improve healthcare.

April 17, 2024

Around the web

Five of the largest U.S. medical societies focused on cardiovascular health are one step closer to seeing their paradigm-shifting proposal become a reality.

The Society for Cardiovascular Angiography & Interventions and Society of Thoracic Surgeons have both shared statements in support of the ban, which is already being challenged in court. The American Hospital Association, meanwhile, opposes the policy shift, saying it “errs by seeking to create a one-size-fits-all rule”

Alison Bailey, MD, co-chair of the business of cardiology sessions at ACC.24, emphasized that reimbursement cuts can have a long-term negative impact on patient. 

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