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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Dave Walker explains how AI is helping improve the revenue cycle in radiology. #RBMA #RBMA24 #RBMA2024

Use of AI in radiology revenue cycle management

Dave Walker, senior director of revenue cycle, Radiology Associates of North Texas, explains how his practice uses artificial intelligence for revenue cycle management during the Radiology Business Management Association (RBMA) 2024 meeting.

artificial intelligence healthcare industry

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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.

artificial intelligence national security

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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.

artificial intelligence AI for talk therapy

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

healthcare AI code of conduct

Submitted for consideration by all healthcare AI stakeholders: 10 principles, 6 commitments, 1 direction

Key collaborators across the healthcare AI life cycle now have a common set of principles to which they can hold each other. And that means everyone from developers and researchers to providers, regulators and even patients.

First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFRCT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data. 

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