AMA Issues 2025 Category III CPT Code for the ECG-Based AI Platform EchoGo Heart Failure
The EchoGo Heart Failure platform is reportedly the only AI-powered technology to receive a CPT reimbursement code for echocardiography detection of heart failure with preserved ejection fraction.
For clinicians utilizing the artificial intelligence (AI)-enabled EchoGo Heart Failure technology to assess patients for heart failure with preserved ejection fraction (HFpEF), the American Medical Association (AMA) has issued a new Category III CPT reimbursement code (0923T), which will go into effect on January 1, 2025.1
Recently published research revealed a sensitivity rate of 87.8 percent and a specificity rate of 81.9 percent for EchoGo Heart Failure, which can detect HFpEF based off assessment of one echocardiographic video, according to Ultromics, the developer of the technology.2
The AI-powered EchoGo Heart Failure, which can reportedly detect HFpEF based off the assessment of one echocardiographic video, will have a new Category III CPT code in 2025. (Image courtesy of Ultromics.)
Ultromics said the new CPT code, which will replace the current HCPCS outpatient code C9786, supports the growing role of EchoGo Heart Failure in facilitating improved accuracy in detecting the frequently undiagnosed HFpEF.
“This recognition by the AMA underscores the significant impact our technology is having in the field of heart failure care. HFpEF represents a significant and growing patient population, accounting for 50% of heart failure cases worldwide, and may go undiagnosed in up to 64% of cases. We believe that EchoGoHeart Failure will transform diagnostic pathways for these patients, enable earlier intervention, improve quality of life, and deliver benefits to payors and healthcare systems,” noted Ross Upton, Ph.D., the chief executive officer and founder of Ultromics.
References
1. Ultromics. Ultromics granted Category III CPT reimbursement code for EchoGo Heart Failure. PR Newswire. Available at: https://www.prnewswire.com/news-releases/ultromics-granted-category-iii-cpt-reimbursement-code-for-echogo-heart-failure-302187915.html . Published July 2, 2024. Accessed July 2, 2024.
2. Akerman AP, Porumb M, Scott CG, et al. Automated echocardiographic detection of heart failure with preserved ejection fraction using artificial intelligence. JACC Adv. 2023;2(6):100452. Doi: 10.1016/j.jacadv.2023.100452.
Recent Videos
Related Content
GE HealthCare Debuts AI-Powered Cardiac CT Device at ACC Conference
April 1st 2025Article
Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.
New AI-Enabled Portable Ultrasound May Facilitate 50 Percent Reduction in Cardiac Imaging Scan Time
March 28th 2025Article
Artificial intelligence (AI)-powered measurement capabilities provide key features with the Compact Ultrasound 5500CV device, which was unveiled at the American College of Cardiology (ACC) conference.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Podcast
Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Predicting Diabetes on CT Scans: What New Research Reveals with Pancreatic Imaging Biomarkers
March 25th 2025Article
Attenuation-based biomarkers on computed tomography (CT) scans demonstrated a 93 percent interclass correlation coefficient (ICC) agreement across three pancreatic segmentation algorithms for predicting diabetes, according to a study involving over 9,700 patients.
