Eko Foundation Analysis Software with Transformers (EFAST) vs Cardiomo

EFAST integrates seamlessly into Eko's digital stethoscopes and existing clinical workflows, providing real-time AI analysis at the point of care without additional steps or separate portals. Cardiomo, while described as user-friendly, requires a wearable patch, mobile app, and cloud synchronization, which might introduce more steps for continuous monitoring compared to EFAST's real-time stethoscope integration during an exam.

EFAST is an FDA-cleared AI model with high sensitivity and specificity for detecting structural murmurs (93% sensitivity, 91% specificity) and atrial fibrillation (95% sensitivity, 94% specificity) during routine exams. It also aims to reduce unnecessary follow-ups by specifically flagging clinically meaningful murmurs. Cardiomo offers continuous monitoring and AI-powered disease detection for various cardiovascular events, but specific sensitivity and specificity figures for its disease detection capabilities are not as readily available in the provided information, though one source mentions 99.63% accuracy for cardiac events.

Both tools require contacting the company for current pricing details, making a direct comparison of value difficult. Eko's pricing is subscription-based, with a free trial included with stethoscope purchase and an estimated stethoscope cost of ~$2.00/day. Cardiomo previously offered a device for $200 with a $10 monthly subscription, but current pricing is not public.

EFAST is part of Eko's SENSORAu00ae Enterprise AI cardiac detection platform for health systems and offers EMR integration for streamlined documentation. Eko Health also has a robust regulatory framework with multiple FDA clearances and ISO 13485 certification. Cardiomo is HIPAA-compliant and offers cloud analytics, but its enterprise-specific features and integrations are not as explicitly detailed as EFAST's.

EFAST is highlighted as the first FDA-cleared foundation model for cardiovascular AI, trained on millions of heart sound and ECG recordings, allowing it to adapt knowledge to specific clinical tasks. This foundation model approach represents a significant advancement in AI for cardiac care. Cardiomo's continuous monitoring wearable with AI-powered alerts is innovative in its own right, offering 24/7 tracking and fall detection.

Eko Health provides user manuals, FAQs, and dedicated support channels, including options to talk to sales, book consultations, and join live demos. Cardiomo's information on support and documentation is less detailed, primarily offering contact information and mentioning a mobile application.