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ZBeats

ZBeats offers a cloud-based, AI-enabled ECG analysis platform that enhances arrhythmia detection accuracy by integrating artificial intelligence with human expertise. The platform addresses high false positive rates in long-term cardiac monitoring, improving operational efficiency for Independent Diagnostic Testing Facilities (IDTFs) and enabling personalized diagnostics.

Stony Brook, United StatesFounded 201911200+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Long-term cardiac monitoring faces challenges due to high false positive rates in arrhythmia detection and a lack of system integrability, leading to low operational efficiency and increased workload for healthcare professionals. Small to medium-sized Independent Diagnostic Testing Facilities (IDTFs) struggle with service quality and market share due to these inefficiencies.

Solution

ZBeats offers an AI-augmented Software as a Medical Device (SaMD) platform designed to improve the efficiency and accuracy of ambulatory cardiac care. The cloud-based platform, ZBPro™, integrates artificial intelligence with human expertise to reduce false positives and streamline workflows in arrhythmia detection. By harmonizing AI and Intelligent Augmentation (IA), the platform optimizes human scanning processes, minimizes errors, and learns an individual's cardiac baseline to detect subtle deviations. ZBeats provides a complete solution for Mobile Cardiac Telemetry (MCT), Cardiac Event Monitoring (CEM), and Extended Holter (EH) services.

Target Audience

The primary target audience includes Independent Diagnostic Testing Facilities (IDTFs) and cardiology practices seeking to improve the efficiency and accuracy of their ambulatory cardiac monitoring services.

Features

  • Cloud-based SaMD platform (ZBPro™) for data analysis, annotation, report generation, and monitoring
  • AI and IA components for streamlined workflow and accurate arrhythmia detection
  • Detects common and advanced arrhythmias, including Atrial Fibrillation & Atrial Flutter, Ventricular Arrhythmias, Bradycardic Arrhythmias, Tachycardiac Arrhythmias, and high-grade Atrioventricular Blocks
  • Vendor-neutral design for integration with existing hardware
  • Optional ZBPatch™: a water-resistant, single-lead patch sensor supporting up to 14-day continuous recording
  • Active Learning Framework that strategically involves human input to improve AI accuracy
  • Compliant with CPT codes 93229, 93271, 93241, and 93245 for ambulatory cardiac monitoring services
This profile is AI-generated and may contain inaccuracies.