SmartChest

JSON twin: https://www.healthaidb.com/software/smartchest.json

Company Name

Milvue

Product URL

https://www.milvue.com/us/solutions/smartchest/

Company URL

https://www.milvue.com

Categories

Summary

SmartChest is an AI-driven solution that assists radiologists in prioritizing chest X-rays by detecting suspected pneumothorax and pleural effusion, thereby enhancing workflow efficiency and diagnostic accuracy.

Description

SmartChest is an AI-powered image processing device designed to aid in the triage of chest X-rays, specifically identifying suspected pneumothorax and pleural effusion. It integrates directly into the practitioner's workstation, automatically analyzing chest X-rays and flagging examinations that require prompt attention. This integration facilitates timely notifications to clinicians, streamlining the review process and improving patient care. SmartChest is a Class II medical device, FDA-cleared, and intended for use with frontal AP and PA views in chest radiographs of adults and transitional adolescents. It does not replace radiologists but enhances their capabilities by providing decision support and improving productivity. The solution has been validated on independent datasets, demonstrating high sensitivity and specificity for detecting pneumothorax and pleural effusion. It is available in the United States and Europe, with plans for broader international availability. The company, Milvue, was founded in 2018 and has offices in France, Canada, and the United States.

Api Available

unknown

Certifications

Company Founding

2018

Company Offices

Compliance

Customers

Data Residency

US

Data Standards

Deployment Model

Features

Id

SW0218

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

Commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

Product Code

SW0218

Product Name

SmartChest

Ratings

Regions Available

Related Urls

Release Year

2024

Security Features

Specialties

Support Channels

System Requirements

Virtual machine, Docker, Cloud-based infrastructure

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON