SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION vs iCAC Device

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 60/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
by DIACOUSTIC MEDICAL DEVICES (PTY)
VS
by Bunkerhill Health

AI Verdict

Tool A assists physicians in diagnosing heart murmurs by analyzing acoustic heart signals from stethoscopes, focusing on real-time auscultation support. Tool B, conversely, analyzes chest CT scans to detect and quantify coronary artery calcium, providing opportunistic cardiovascular risk assessment from imaging data. Therefore, while both are cardiology AI tools, they serve distinct diagnostic purposes with different data inputs.

Choose SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION if…

Choose SENSICARDIAC MOBI if you require an immediate, point-of-care AI-powered assessment to differentiate between physiological and pathological heart murmurs using an electronic stethoscope. This mobile application is ideal for clinicians in cardiology, internal medicine, or pediatrics who need real-time decision support during patient examinations to quickly evaluate acoustic heart signals.

View SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION →

Choose iCAC Device if…

Choose the iCAC Device if your primary goal is to opportunistically detect and quantify coronary artery calcium from routine, non-contrast, non-gated chest CT scans. This AI algorithm is best suited for radiology and cardiology departments looking to leverage existing imaging data to identify patients at risk for cardiovascular disease, providing valuable adjunctive information for risk stratification.

View iCAC Device →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION iCAC Device
Pricing Contact for pricing Contact for pricing
Deployment Hosted server environment (Linux OS) with a mobile application interface Software as a Medical Device (SaMD), integrates with PACS or DICOM router. Cloud-based (via Carebricks platform).
BAA Available Yes AI-estimated Unknown
FDA Status Cleared AI-estimated Cleared AI-estimated
HIPAA Yes AI-estimated Unknown

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION iCAC Device
Name SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION iCAC Device
Company DIACOUSTIC MEDICAL DEVICES (PTY) Bunkerhill Health
Description SensiCardiac Mobi is an FDA-cleared AI-powered mobile application that assists physicians in diagnosing heart murmurs by analyzing acoustic heart signals from an electronic stethoscope to differentiate between physiological and pathological sounds. Bunkerhill Health's iCAC Device is an FDA-cleared AI algorithm that detects and quantifies coronary artery calcium from routine, non-contrast, non-gated chest CT scans, aiding in early cardiovascular disease detection.
Categories Cardiology AI, Clinical Decision Support & Reference Cardiology AI
Specialties Cardiology, Internal Medicine, Pediatrics Cardiology, Radiology
Key Functionality Acquires and records acoustic heart signals; Analyzes heart sounds using the Sensi Diagnostic Heart Murmur Algorithm; Distinguishes between normal/physiological and pathological heart murmurs; Identifies S1, S2, and suspected murmurs; Records heart sounds at four main auscultation positions; Mobile application for data capture and display (e.g., iPhone 4S or later); Requires a compatible electronic stethoscope (user-provided); Operates as a decision support software, complementing physician assessment Estimates presence and quantity of coronary artery calcium (CAC); Analyzes routine, non-contrast, non-gated chest CT scans; Utilizes deep-learning algorithms for analysis; Provides adjunctive information to radiologists; Outputs visual representation of estimated CAC segmentation; Delivers exact and four-category quantitative estimates of CAC burden in Agatston units; Integrates with EHRs via the Carebricks platform; Supports opportunistic identification of CAC from existing CT scans

Videos

Demos, reviews, and walkthroughs featuring SENSICARDIAC MOBI DIAGNOSTIC HEART MURMUR APPLICATION and iCAC Device.

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Frequently Asked Questions

SensiCardiac Mobi is designed for point-of-care use during physical examinations, assisting in real-time heart murmur diagnosis from acoustic signals. The iCAC Device integrates with radiology workflows by analyzing existing chest CT scans to opportunistically identify and quantify coronary artery calcium for cardiovascular risk assessment.
The iCAC Device explicitly integrates with EHRs via the Carebricks platform, allowing for the transfer of quantitative coronary artery calcium estimates and visual segmentations. SensiCardiac Mobi's integration capabilities are not detailed, suggesting a more manual process for transferring diagnostic insights from the mobile application to the EHR.
SensiCardiac Mobi differentiates between physiological and pathological heart murmurs and identifies S1, S2, and suspected murmurs, aiming to enhance diagnostic precision during auscultation. The iCAC Device provides exact and four-category quantitative estimates of CAC burden in Agatston units, offering objective data for early cardiovascular disease detection and risk stratification.
For SensiCardiac Mobi, the learning curve would involve proficiency with the mobile application and compatible electronic stethoscope for accurate heart sound acquisition. For the iCAC Device, physicians, particularly radiologists, would need to understand how to interpret the AI-generated CAC quantification and segmentation within their existing CT reading workflow.
SensiCardiac Mobi, being a mobile application, would require managing compatible electronic stethoscopes and mobile device deployment across sites. The iCAC Device, integrating with PACS/DICOM routers and being cloud-based, would focus on seamless integration with existing imaging infrastructure and network bandwidth across multiple facilities.
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