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
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025Article
The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025Article
In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
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.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Article
Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.
