InVision Precision Cardiac Amyloid

by InVision Medical Technology Corporation  · Based in United States →Improving the precision and accuracy of cardiovascular imaging.
Cardiology Radiology

Subscription
Regulatory Status Disclosed

Overview

InVision Precision Cardiac Amyloid by InVision Medical Technology Corporation is an AI-powered software designed to aid clinicians in the evaluation of echocardiogram studies for cardiac amyloidosis, including both AL and ATTR types.

This tool is intended for use by cardiologists and other healthcare professionals in various care settings, particularly echocardiography laboratories within health systems.

The software integrates into existing clinical workflows by analyzing standard DICOM echocardiogram images (specifically apical-4-chamber and parasternal-long-axis views) as a post-processing analysis. It is designed to deploy alongside existing PACS, Epic EHR, and structured reporting platforms, without requiring new hardware or scanners. The aim is to flag patients with a high suspicion for cardiac amyloidosis for further consideration by clinicians, thereby assisting in earlier detection of a condition that can be underdiagnosed.

Notable capabilities include its FDA 510(k) clearance and its ability to analyze routine echocardiograms to identify potential cardiac amyloidosis. It was previously granted Breakthrough Device Designation by the FDA. A CPT Category III code (0932T), effective January 1, 2025, supports AI-assisted echocardiographic evaluation for patients with heart failure symptoms, which includes Precision Cardiac Amyloid.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered detection of cardiac amyloidosis
  • Evaluation of transthoracic echocardiogram studies (apical-4-chamber and parasternal-long-axis view videos)
  • Aids clinicians in diagnosing and assessing patients with heart failure symptoms
  • Designed for earlier detection and reduction of misdiagnosis
  • Supports both AL and ATTR Cardiac Amyloidosis
  • Evidence-based AI algorithm, peer-reviewed and published in JAMA Cardiology
  • Integration into clinical workflow
  • Precise assessment of wall thickness in parasternal long axis view
  • Computer vision risk assessment in apical 4 chamber view
  • No racial bias in AI model output

Use Cases

  • Diagnosing and assessing heart disease risk (specifically cardiac amyloidosis)
  • Early detection of cardiac amyloidosis in patients with heart failure symptoms
  • Streamlining interpretation of heart ultrasounds
  • Identifying undiagnosed cardiac amyloidosis
  • Aiding clinicians in busy echocardiography labs
  • Personalizing treatment and prevention recommendations

What Physicians Need to Know

Echocardiography AI Features
Utilizes AI to detect cardiac amyloidosis by evaluating transthoracic echocardiogram studies, specifically apical-4-chamber and parasternal-long-axis view videos. The AI algorithm holistically assesses features of cardiac amyloidosis, going beyond single ultrasound views. It processes echocardiogram videos for view classification, image processing, precise wall thickness assessment in the parasternal long axis, and computer vision risk assessment in the apical 4 chamber view. The algorithm has undergone peer review and was published in JAMA Cardiology in 2022, demonstrating no racial bias and international validation across multiple centers.
Heart Failure Risk Prediction
Aids in the earlier detection of cardiac amyloidosis, a significant underlying cause of heart failure, thereby supporting improved management and outcomes for heart failure patients. The American Medical Association (AMA) has adopted a new Category III CPT code (0932T), effective January 1, 2025, for adjunctive technologies like InVision Precision Cardiac Amyloid, which assist clinicians in diagnosing and assessing patients with heart failure symptoms by providing a diagnostic heart failure subtype classification.
AHA/ACC Guideline Alignment
The tool's FDA 510k clearance and Breakthrough Device Designation, along with the AMA's adoption of a specific CPT code (0932T) for its use in diagnosing heart failure subtypes like cardiac amyloidosis, indicate recognition within the medical community and alignment with efforts to improve early and accurate diagnosis of this condition. This aligns with the critical need for early detection emphasized in guidelines for cardiac amyloidosis and heart failure.
Real-Time Alert Capability
Designed to flag patients with a high suspicion of cardiac amyloidosis for further clinical consideration, aiming to overcome diagnostic bottlenecks in busy echocardiography labs. AI tools in this domain are noted for their ability to provide rapid results, speeding up the diagnostic process.
Physician Tip

InVision Precision Cardiac Amyloid serves as a valuable adjunctive tool for the early identification of cardiac amyloidosis, a frequently underdiagnosed and life-threatening condition. Clinicians should integrate this AI-powered echocardiography analysis into their workflow, particularly for patients presenting with unexplained heart failure symptoms or individuals over 65 undergoing echocardiography. The tool can help prioritize patients for further confirmatory diagnostic testing, potentially leading to earlier intervention and improved patient outcomes. It is crucial to remember that this tool is an aid and should be used in conjunction with comprehensive clinical evaluation and other diagnostic modalities.

As an AI Software as a Medical Device (SaMD) for echocardiography, InVision Precision Cardiac Amyloid is designed for seamless integration into existing echocardiography workflows. This likely involves compatibility with standard echocardiography systems to process transthoracic echocardiogram studies. Future or current integrations may extend to Electronic Health Record (EHR) systems to facilitate automated flagging of suspicious cases and streamline patient management and follow-up.

Details

Category Cardiology AI
Pricing Subscription Starting at $49/mo; Contact InVision Medical Technology for enterprise pricing and volume discounts.
DeploymentSoftware as a Medical Device (SaMD), integrated into clinical workflows for echocardiography labs.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

InVision Precision Cardiac Amyloid received US FDA 510k clearance (K243866) on May 21, 2025, as an AI Software as a Medical Device (SaMD) for echocardiography for the detection of cardiac amyloidosis. It had previously received US FDA Breakthrough Device Designation.

Integrations
EHR Not specified
Specialties Cardiology, Radiology

What the Web Says

InVision Precision Cardiac Amyloid is an AI-powered software as a medical device (SaMD) designed to detect cardiac amyloidosis from echocardiogram videos, particularly in patients aged 65 and over. It aims to address the challenge of underdiagnosis of this life-threatening condition by flagging individuals at high suspicion for further investigation. The device has received FDA 510(k) clearance and Breakthrough Device Designation, with a CPT Category III code effective January 1, 2025, supporting reimbursement.

Overall: Positive

Strengths

  • Aids in early detection of cardiac amyloidosis, a condition often missed and now treatable.
  • Utilizes AI to analyze routine echocardiograms, integrating into existing workflows with zero marginal clinician burden.
  • Backed by extensive academic research and peer-reviewed publications in journals like Nature and JAMA Cardiology.
  • FDA 510(k) cleared and received Breakthrough Device Designation, indicating regulatory confidence.
  • Reimbursement is supported by a CPT Category III code (effective Jan 1, 2025) and New Technology Add-On Payment (NTAP) for inpatient settings.
  • Shown to reduce sonographer and cardiologist effort while improving measurement consistency in related InVision products.

Limitations

  • Patient management decisions should not be made solely on the results of the InVision Precision Cardiac Amyloid.
  • Limited information available from independent tech reviewers, G2, Capterra, or extensive Reddit discussions specifically on this product, making a comprehensive external sentiment analysis challenging.
  • While AI tools show promise, challenges to broader adoption include usability, cost, value added, EHR/IT interoperability, and patient-related factors.
  • Some AI models for cardiac amyloidosis have shown a drop in specificity, which could lead to false positives.
  • Further model refinement and validation in more diverse populations are required to expand integration into clinical practice and enhance generalizability.

Based on reviews from: InVision Medical Technology, Intentional Intelligence (David Ouyang, InVision founder), FDA, MEARIS, Reddit, PMC (PubMed Central), MDPI, MedPage Today

Last updated: 2026-07-19

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Press & Coverage

FDA
InVision Precision Cardiac Amyloid 510(k) Premarket Notification
The FDA granted 510(k) clearance to InVision Precision Cardiac Amyloid (InVision PCA) on May 21, 2025. This Software as a Medical Device (SaMD) uses a machine-learning algorithm to screen for high suspicion of cardiac amyloidosis from echocardiogram videos, assisting clinicians in diagnosis for adults over 65 years of age.
2025-05
The Imaging Wire
VC Funding Bounces Back, FDA Breakthroughs, and CCTA of Plaque - The Imaging Wire
InVision Medical's InVision Precision Cardiac Amyloid AI algorithm for detecting cardiac amyloidosis on echo received marketing authorization in 2025, following its breakthrough designation. This is part of a broader trend of increased VC funding and FDA breakthroughs in medical imaging AI.
2025-05
HeartLab Blog
Announcing our partnership with InVision Medical Technology | HeartLab Blog
HeartLab announced a partnership with InVision Medical Technology on October 13, 2025, to bring AI-based detection of cardiac amyloidosis and assessment of heart function to Australia and New Zealand. InVision Precision Cardiac Amyloid is already FDA cleared in the United States.
2025-10
MarshallToday
ASE 2026 Cardiology Conference in Nashville June 26 Features InVision Precision Cardiac Amyloid AI
InVision Medical Technology will present its Precision Cardiac Amyloid AI at the ASE 2026 Cardiology Conference in Nashville on June 26, highlighting the growing importance of AI in cardiology.
2026-06
Federal Register (GovInfo)
Federal Register/Vol. 91, No. 71/Tuesday, April 14, 2026/Proposed Rules - GovInfo
The Centers for Medicare & Medicaid Services (CMS) proposed approving InVision Precision Cardiac Amyloid for new technology add-on payment (NTAP) in 2027. The device is a SaMD machine-learning algorithm designed to identify high suspicion of cardiac amyloidosis from echocardiogram videos.
2026-04
Intentional Intelligence (Blog by David Ouyang)
Skating to where the puck is headed - by David Ouyang - Intentional Intelligence
InVision's Precision Cardiac Amyloid echo AI disease detection tool is expected to receive New Technology Add-On Payment (NTAP) reimbursement in Fall 2026, building on its FDA Breakthrough Device designation and existing CPT code. This will provide additional Medicare revenue for healthcare systems using the AI diagnostic for cardiac amyloidosis detection in inpatients over 65.
2026-06
Innolitics
2025 Year in Review: Cardiology AI/ML SaMD 510(k) Clearances - Innolitics
InVision Precision Cardiac Amyloid received FDA 510(k) clearance on May 21, 2025, as a traditional cardiovascular Software as a Medical Device (SaMD).
2026-01
PMC (PubMed Central)
Artificial intelligence in modern clinical practice (Review) - PMC
InVision Precision Cardiac Amyloid (K243866) is listed among recent FDA-cleared cardiovascular AI tools, highlighting the rapid advancements in AI in cardiology for more accurate and tailored clinical judgments.
2025

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Frequently Asked Questions

InVision Precision Cardiac Amyloid utilizes AI to analyze transthoracic echocardiogram studies, specifically apical-4-chamber and parasternal-long-axis view videos. The AI identifies subtle signatures within these routine images that may indicate cardiac amyloidosis, aiming for earlier detection of the disease.
InVision Precision Cardiac Amyloid has received FDA 510(k) clearance and was granted Breakthrough Device Designation by the U.S. Food and Drug Administration. Additionally, the American Medical Association has adopted a new Category III Current Procedural Terminology (CPT) code for adjunctive technologies like this, assisting clinicians in diagnosing heart failure symptoms.
Current alternatives include other non-invasive imaging modalities like cardiac magnetic resonance imaging (CMR) and nuclear bone scintigraphy, as well as blood/urine tests and, in some cases, endomyocardial biopsy. InVision's AI offers a non-invasive method that integrates with routine echocardiography, a common initial cardiac imaging, potentially enabling earlier detection than traditional methods.
While specific pricing details are not publicly available, AI healthcare solutions often employ subscription, usage-based, or value-based pricing models. The adoption of a new Category III CPT code for adjunctive technologies like InVision Precision Cardiac Amyloid indicates a pathway for reimbursement, aligning with efforts to integrate AI services into existing fee schedules.
General limitations of AI in medical diagnostics include potential biases from training data, the inability to replace full medical context, and the necessity for human oversight. While InVision's AI has undergone peer review and validation, it functions as a diagnostic aid, emphasizing that clinical judgment remains crucial.
The AI algorithm has undergone peer review and was published in JAMA Cardiology in 2022. Studies on similar AI models for cardiac amyloidosis have shown high accuracy, with reported rates of 85% for correctly identifying patients and 93% for correctly ruling it out in independent validation cohorts.
InVision Precision Cardiac Amyloid is designed to integrate with existing echocardiography workflows, analyzing standard transthoracic echocardiogram videos. Its nature as a software as a medical device (SaMD) suggests it can be seamlessly incorporated into existing Picture Archiving and Communication Systems (PACS) or Electronic Health Records (EHR) systems, minimizing workflow disruption.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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