HeartFocus (V.1.1.1) vs Lung AI

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 75/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.

HeartFocus (V.1.1.1)

by Deski

Lung AI

by Multiple (e.g., RevealDx, Optellum, LungLife AI, Qure.ai, Arterys, DeepHealth, HeartLung.AI)

AI Verdict

These tools are highly comparable as AI-powered ultrasound solutions targeting cardiology and emergency medicine, both with FDA clearance. HeartFocus specializes in real-time AI guidance for acquiring diagnostic-quality heart ultrasounds, empowering users to capture standard echocardiographic views. In contrast, Lung AI provides AI-driven detection for specific cardiac conditions and lung pathologies such as pleural effusion and consolidation, often with on-device processing.

Choose HeartFocus (V.1.1.1) if…

Choose HeartFocus (V.1.1.1) if your primary goal is to empower healthcare professionals, including those new to ultrasound, to consistently acquire diagnostic-quality cardiac ultrasound images with real-time AI guidance. This tool is particularly well-suited for standardizing the acquisition of 10 echocardiographic views and for training programs aiming to build POCUS cardiac competencies across a wider user base.

View HeartFocus (V.1.1.1) →

Choose Lung AI if…

Choose Lung AI if you require a highly portable, on-device AI solution for rapid assessment of both lung pathologies and key cardiac indicators, especially in environments where internet connectivity may be limited. Its strengths lie in AI-powered detection of conditions like pleural effusion and consolidation/atelectasis, alongside automated cardiac indicators, making it ideal for point-of-care decisions in diverse clinical settings.

View Lung AI →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	HeartFocus (V.1.1.1)	Lung AI
Pricing	Contact for pricing	Unknown
Deployment	App or SDK, integrated with compatible ultrasound devices (e.g., Butterfly Network's handheld ultrasound devices).	Cloud-based, integrated with existing platforms (e.g., RapidAI), and potentially on-premise.
FDA Status	Cleared AI-estimated	Cleared AI-estimated
HIPAA	Unknown	Yes AI-estimated

Feature-by-Feature

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

Feature	HeartFocus (V.1.1.1)	Lung AI
Product Name	HeartFocus (V.1.1.1)	Lung AI
Company	Deski	Exo
Tagline	A new standard for cardiac imaging — anywhere	Handheld AI Ultrasound for Smarter Cardiac and Lung Scanning.
Key Features	AI-enabled real-time guidance for ultrasound probe positioning, Automatic detection and recording of diagnostic-quality clips, Empowers novice users to perform diagnostic-quality heart ultrasounds, Compatible with handheld, portable, and cart-based ultrasound devices, Supports acquisition of 10 standard echocardiographic views, Available as an app or Software Development Kit (SDK), POCUS HeartFocus Certification program available, Training resource for medical teachers and ultrasound competencies	AI-powered detection of pleural effusion, AI-powered detection of consolidation/atelectasis, Real-time feedback and image quality monitoring (SweepAI), Automated AI-based indicators for cardiac conditions (e.g., heart failure, hypertrophy), Guided image capture for optimal scans, On-device AI processing (operates without internet), Pulsed-wave Doppler capabilities (on Exo Iris), Exo U (AI-powered POCUS education and training)

Videos

Demos, reviews, and walkthroughs featuring HeartFocus (V.1.1.1) and Lung AI.

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Frequently Asked Questions

How do the specific clinical capabilities of each tool align with the needs of different specialties, particularly regarding the depth of cardiac versus pulmonary assessment?

HeartFocus is dedicated to cardiac imaging, offering real-time AI guidance for acquiring 10 standard echocardiographic views, making it suitable for in-depth cardiac assessment and empowering novice users. Lung AI provides AI-powered detection for specific lung conditions like pleural effusion and consolidation/atelectasis, alongside automated indicators for general cardiac conditions, offering a broader scope for emergency medicine and pulmonology.

How do these tools integrate with existing clinical workflows and EHR systems for image storage, reporting, and data transfer, especially considering HeartFocus's SDK option versus Lung AI's on-device processing?

HeartFocus, available as an app or SDK, offers flexibility for integration with various compatible ultrasound devices and supports DICOM-based integration with PACS for image transfer and archival. Lung AI operates with on-device AI processing on the Exo Iris handheld ultrasound, which can streamline data capture at the point of care, but its integration with EHRs would depend on the Exo ecosystem.

What is the expected learning curve for a physician new to AI-guided ultrasound, and what training and support resources are available to ensure rapid proficiency and time-to-value for each tool?

HeartFocus is explicitly designed to empower novice users to perform diagnostic-quality heart ultrasounds with real-time AI guidance, offering a POCUS HeartFocus Certification program and training resources. Lung AI also emphasizes ease of use for non-experts, providing guided image capture and its 'Exo U' platform for AI-powered POCUS education and training to help users achieve proficiency.

What specific metrics or evidence can be provided regarding the accuracy and sensitivity of their AI algorithms for detecting the conditions they target, particularly for novice users?

HeartFocus focuses on automatic detection and recording of diagnostic-quality clips and enabling novice users to perform diagnostic-quality heart ultrasounds. Lung AI has demonstrated high accuracy in clinical studies for detecting pleural effusion (sensitivity 0.967, specificity 0.912) and consolidation/atelectasis (sensitivity 0.968, specificity 0.945), with performance improvements for both novice and experienced users.

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Backers

Who funded each tool's parent company.

HeartFocus (V.1.1.1)

Serena