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2021 ACC AHA Guideline Promotes Shared Decision-Making

2021 ACC AHA Guideline Promotes Shared Decision-Making

by KeyaMedical | Nov 22, 2021 | Blog

The 2021 AHA/ACC Guideline for the Evaluation and Diagnosis of Chest Pain was released on 28 October 2021. This report represents years of work by the Joint Committee on Clinical Practice Guidelines to define protocols and algorithms based on the evidence.

What’s the future of health data interoperability using FHIR?

What’s the future of health data interoperability using FHIR?

by KeyaMedical | Sep 21, 2021 | All News, Blog

The future of health data interoperability using FHIR. ONC’s Micky Tripathi provided his perspective at a recent Cambia Grove forum.

Can AI Help Improve Atherosclerotic Plaque Quantification?

Can AI Help Improve Atherosclerotic Plaque Quantification?

by KeyaMedical | Aug 23, 2021 | All News, Blog

Artificial intelligence and other advanced informatics could be applied to coronary CTA images to unlock valuable information on atherosclerotic plaque characteristics that could be used to personalize care decisions. Learn more.

Medical Imaging AI Fee-for-Service and the Transition to Value-Based Care

Medical Imaging AI Fee-for-Service and the Transition to Value-Based Care

by KeyaMedical | Aug 15, 2021 | All News, Blog

Learn more about the encouraging recent developments in the use of targeted fee-for-service models as a transition strategy to ensure that patients have access to proven advanced diagnostics and treatments.

Coronary CTA Reimbursement: Opportunities & Challenges

Coronary CTA Reimbursement: Opportunities & Challenges

by KeyaMedical | Jul 19, 2021 | Blog

Examine the current challenges for coronary CTA reimbursement, the potential effects it will have on patient care, and what medical imagers can do to help improve reimbursement moving forward.

AI-assisted Opportunistic Screening for Population Health

AI-assisted Opportunistic Screening for Population Health

by KeyaMedical | Jun 14, 2021 | All News, Blog

Recent research demonstrates that deep learning could facilitate opportunistic screening and allow for earlier prevention and management of patients with cardiovascular disease. Learn more about the present opportunities.

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