iCAC Device vs Study Watch with Irregular Pulse Monitor (Home)

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 Bunkerhill Health
VS
by Verily Life Sciences LLC

AI Verdict

Tool A is an AI algorithm that analyzes existing CT scans to detect and quantify coronary artery calcium, aiding radiologists in cardiovascular disease risk assessment. In contrast, Tool B is a prescription-only wearable device that continuously monitors physiological data, including ECG, for the detection of irregular pulses and atrial fibrillation. While both fall under Cardiology AI, they address different aspects of cardiovascular health using distinct technologies and deployment methods.

Choose iCAC Device if…

Choose the iCAC Device if your organization seeks to opportunistically assess cardiovascular risk by analyzing existing, routine non-contrast chest CT scans. This tool is ideal for integrating AI-powered coronary artery calcium detection into current radiology workflows, providing early cardiovascular disease insights without requiring dedicated cardiac imaging.

View iCAC Device →

Choose Study Watch with Irregular Pulse Monitor (Home) if…

Choose the Verily Study Watch with Irregular Pulse Monitor (Home) if you need a prescription-only wearable for continuous, unobtrusive physiological data collection in clinical research or remote patient monitoring. This device excels at long-term irregular pulse monitoring for atrial fibrillation detection and on-demand ECG measurements, making it suitable for managing patients in a home setting.

View Study Watch with Irregular Pulse Monitor (Home) →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature iCAC Device Study Watch with Irregular Pulse Monitor (Home)
Pricing Contact for pricing Contact for pricing
Deployment Software as a Medical Device (SaMD), integrates with PACS or DICOM router. Cloud-based (via Carebricks platform). Wearable device with cloud-based data processing.
FDA Status 1 AI-estimated 1 AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

iCAC Device

Tool A (iCAC Device) integrates seamlessly into existing radiology workflows by analyzing routine CT scans, providing adjunctive information to radiologists without requiring new user interaction paradigms. Tool B (Study Watch) is a wearable device that requires patient compliance for wearing, charging, and potentially initiating ECGs, which can introduce more complexity in patient management and adherence.

Clinical Value

iCAC Device

Tool A (iCAC Device) offers significant clinical value by opportunistically detecting and quantifying coronary artery calcium from routine, non-contrast chest CT scans, enabling early cardiovascular disease detection and risk stratification for patients who might otherwise be missed. This proactive identification from existing imaging data can lead to timely interventions and improved patient outcomes. Tool B (Study Watch) provides valuable continuous physiological data and AFib detection, but opportunistic screening from routine imaging offers a unique advantage in identifying previously undiagnosed risk across a broader patient population.

Pricing & Value

Tie

Both Tool A and Tool B state 'contact for pricing' and do not provide publicly available pricing details. Without any transparent pricing information, it is impossible to conduct a head-to-head comparison of their value propositions.

Enterprise Readiness

iCAC Device

Tool A (iCAC Device) is FDA-cleared and designed for seamless integration with existing hospital IT infrastructure, including PACS, DICOM routers, and EHRs, and is part of Bunkerhill Health's Carebricks platform which automates care coordination. Tool B (Study Watch) is also FDA-cleared and confirms a Business Associate Agreement (BAA), but faces a reported lawsuit alleging HIPAA breaches in past operations, which could be a significant concern for enterprise adoption and trust.

Innovation

iCAC Device

Tool A (iCAC Device) demonstrates strong innovation by leveraging deep-learning algorithms to extract critical cardiovascular risk information (coronary artery calcium) from routine, non-contrast, non-gated chest CT scans that were acquired for other purposes. This 'opportunistic' screening approach transforms existing, often underutilized, data into actionable insights for early disease detection without additional radiation or dedicated scans. While Tool B (Study Watch) offers advanced wearable sensor technology for continuous monitoring and AFib detection, the concept of wearables for physiological data collection is more established.

Support & Docs

Tie

Neither the provided structured facts nor the web search results offer specific details regarding the availability, scope, or quality of support and documentation for either Tool A or Tool B. Therefore, a distinction cannot be made between the two on this dimension.

Feature-by-Feature

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

Feature iCAC Device Study Watch with Irregular Pulse Monitor (Home)
Name iCAC Device Study Watch with Irregular Pulse Monitor (Home)
Primary Use Case 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. Prescription-only wearable device for clinical research and healthcare use, designed to unobtrusively collect physiological data, including ECG and irregular pulse monitoring, with advanced sensors and cloud-based analytics.
Target Specialties Cardiology, Radiology Cardiology, Family Medicine, Internal Medicine
Core Functionality Estimates presence and quantity of coronary artery calcium (CAC); Analyzes routine, non-contrast, non-gated chest CT scans; Utilizes deep-learning algorithms for analysis. On-demand single-channel ECG measurement; Irregular pulse monitoring for atrial fibrillation (AFib) detection; Multiple physiological sensors (heart rate, electrodermal activity, inertial movements).
Data Source/Input Routine, non-contrast, non-gated chest CT scans. Physiological data from wearable sensors (ECG, heart rate, electrodermal activity, inertial movements) and environmental sensors.
Output/Analysis Provided Visual representation of estimated CAC segmentation; Exact and four-category quantitative estimates of CAC burden in Agatston units; Adjunctive information to radiologists. ECG, irregular pulse monitoring for AFib detection, processed physiological data via proprietary algorithms and machine learning.

Videos

Demos, reviews, and walkthroughs featuring iCAC Device and Study Watch with Irregular Pulse Monitor (Home).

Loading videos…
Videos need JavaScript to load. Search YouTube directly →

View all on YouTube

Frequently Asked Questions

The iCAC Device integrates seamlessly into existing clinical workflows by analyzing routine, non-contrast, non-gated chest CT scans to opportunistically identify and quantify coronary artery calcium (CAC), providing adjunctive information to radiologists for early cardiovascular disease detection and risk stratification. The Study Watch with Irregular Pulse Monitor (Home) is a prescription-only wearable that unobtrusively collects physiological data, including on-demand single-channel ECG and irregular pulse monitoring for AFib detection, enabling continuous monitoring and data analytics for clinical research and patient management.
The iCAC Device integrates with EHRs via the Carebricks platform, which can automate care coordination, prioritize patients for follow-up, and enable workflows to complete downstream actions within clinical systems, such as identifying patients, creating referrals or orders, and messaging patients and providers. For the Study Watch, data processing is cloud-based with proprietary algorithms and machine learning, and Verily's platform can integrate sensor data with medical records, surveys, and other third-party data for research purposes.
The iCAC Device utilizes deep-learning algorithms to detect and quantify coronary artery calcium, providing exact and four-category quantitative estimates of CAC burden in Agatston units, with its performance validated in retrospective studies for overall agreement with ground truth. The Study Watch employs proprietary algorithms and machine learning for irregular pulse monitoring and AFib detection, with a deep neural network algorithm confirmed in clinical studies to accurately detect atrial fibrillation episodes.
The iCAC Device is appropriate for patients aged 30 years and above undergoing routine non-contrast, non-gated chest CT scans for various reasons, allowing for opportunistic identification of CAC and early cardiovascular risk assessment in asymptomatic patients. The Study Watch is a prescription-only device for adult patients (22 years or older) with known or suspected heart conditions, or those susceptible to developing atrial fibrillation, making it suitable for long-term AFib surveillance and continuous physiological monitoring in clinical research.
The iCAC Device implements data encryption, role-based access control (RBAC), and audit logs, with datastores housing sensitive customer data encrypted at rest and secure data transmission protocols used for data in transit. The Study Watch features on-device data encryption for security, and Verily generally implements strong encryption (both in-transit and at-rest) and tightly restricted, closely monitored role-based access for data protection.
The iCAC Device is designed to provide adjunctive information to radiologists and integrate into existing clinical workflows, suggesting a potentially minimal learning curve for interpretation as it streamlines coronary calcium scoring without disrupting workflows. The Study Watch, being a wearable device for patients with cloud-based data processing, would likely require staff training for patient education on device use and for accessing and interpreting the continuous physiological data collected.
AI Tool Finder
AI-powered search. Results may not be comprehensive.