Lung AI vs RTHawk

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.

Lung AI

by Exo

RTHawk

by HeartVista Cardiac Package

AI Verdict

These tools offer adjacent but not directly comparable solutions for cardiac imaging. Lung AI provides AI-powered analysis for handheld ultrasound devices, focusing on real-time, accessible diagnostics for cardiac and lung conditions. In contrast, RTHawk is an AI-driven software designed to streamline and enhance cardiac MRI acquisition and analysis on existing MRI scanners.

Choose Lung AI if…

Choose Lung AI if you require immediate, bedside diagnostic capabilities for cardiac and lung conditions, especially in emergency medicine or critical care settings. Its handheld, AI-powered ultrasound platform enables rapid assessment of conditions like pleural effusion or consolidation without needing specialized imaging suites, making it ideal for point-of-care decisions and resource-limited environments.

View Lung AI →

Choose RTHawk if…

Choose RTHawk if your primary need is to streamline and enhance the acquisition and analysis of comprehensive cardiac MRI studies within a radiology department. This AI-driven software integrates with existing MRI scanners to provide one-click automation, real-time imaging, and advanced quantification of cardiac function, optimizing workflow and diagnostic efficiency for detailed cardiac assessments.

View RTHawk →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	Lung AI	RTHawk
Pricing	Contact for pricing	Contact for pricing
Deployment	On-device (integrated with Exo Iris handheld ultrasound device)	On-premise (integrated with existing MRI scanners)
BAA Available	Yes AI-estimated	Unknown
FDA Status	1 AI-estimated	1 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	Lung AI	RTHawk
Product Name	Lung AI	RTHawk
Company	Exo	HeartVista Cardiac Package
Tagline	Handheld AI Ultrasound for Smarter Cardiac and Lung Scanning.	AI-Powered One-Click Cardiac MRI for Enhanced Diagnostics
Primary Imaging Modality	Ultrasound	MRI
Key AI-Powered Detection/Acquisition	AI-powered detection of pleural effusion, consolidation/atelectasis; Automated AI-based indicators for cardiac conditions.	AI-assisted MRI acquisition software; Automates standard cardiac views; Optimizes inversion time with AI assistance.
Real-time Capabilities	Real-time feedback and image quality monitoring (SweepAI)	Real-time, free-breathing, and breath-hold sequences for cardiac exams

Videos

Demos, reviews, and walkthroughs featuring Lung AI and RTHawk.

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Frequently Asked Questions

How do Lung AI and RTHawk integrate into existing clinical workflows, and what are their primary use cases in patient care?

Lung AI, integrated with the handheld Exo Iris ultrasound device, supports real-time cardiac and lung assessments directly at the point of care, making it suitable for rapid decision-making in emergency or pulmonology settings. RTHawk, as an AI-driven software, streamlines cardiac MRI acquisition and analysis by integrating with existing MRI scanners, enhancing diagnostic efficiency for comprehensive cardiac evaluations within radiology departments.

Beyond cardiology, which specific specialties would benefit most from each tool's unique AI capabilities?

Lung AI extends its utility to Emergency Medicine and Pulmonology through AI-powered detection of pleural effusion and consolidation/atelectasis, enabling immediate bedside insights for conditions like pulmonary edema. RTHawk primarily serves Cardiology and Radiology by automating and enhancing cardiac MRI acquisition and analysis, providing detailed anatomical and functional data for complex cardiac conditions.

What is the expected learning curve for physicians to become proficient with each system, and how quickly can a practice realize clinical value?

Lung AI aims to reduce the learning curve with 'Guided image capture' and 'Exo U' POCUS education, facilitating quicker adoption for point-of-care ultrasound users, including those with limited experience. RTHawk's 'One-Click Cardiac Package' and automated standard cardiac views simplify complex cardiac MRI acquisition, potentially accelerating the time to efficient diagnostic imaging and analysis.

What are the key considerations for deploying each tool across multiple clinical sites, particularly regarding hardware and software integration?

Deploying Lung AI involves distributing and integrating the handheld Exo Iris ultrasound devices across sites, with on-device AI processing simplifying network dependencies. RTHawk requires software integration with existing MRI scanners at each location, necessitating coordination with radiology IT and equipment vendors for seamless implementation.

Do these tools provide audit-trail capabilities to track AI-assisted decisions and user interactions for quality assurance and compliance?

While specific audit-trail features are not explicitly detailed, both tools leverage AI to assist in image acquisition and interpretation, implying a need for robust internal logging. Lung AI offers real-time feedback and image quality monitoring (SweepAI), while RTHawk includes artifact detection and automated views, which inherently contribute to a traceable process of AI-guided imaging.

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