HealthFLD

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

Company Name

Nano-X AI

Product URL

https://www.nano-x.ai/healthfld

Company URL

https://www.nano-x.ai

Categories

Summary

HealthFLD is an AI-powered software by Nano-X AI that analyzes CT scans to detect fatty liver disease, aiding clinicians in early diagnosis and management.

Description

HealthFLD utilizes artificial intelligence to provide automated qualitative and quantitative analysis of liver attenuation from routine contrast and non-contrast chest and abdomen CT scans. It measures liver attenuation in Hounsfield Units (HU) and highlights results outside the reference range, assisting clinicians in identifying patients at risk for metabolic dysfunction-associated steatotic liver disease (MASLD). The software is FDA-cleared for use in patients aged 18 to 75. In a 2023 study of nearly 3,000 patients, HealthFLD demonstrated a sensitivity of 77.8% and specificity of 93.2% at less than 80 HU, indicating its effectiveness in detecting moderate hepatic steatosis. HealthFLD integrates seamlessly into existing clinical workflows, enabling early detection and intervention for patients with fatty liver disease. ([auntminnie.com](https://www.auntminnie.com/clinical-news/ct/article/15664046/nanox-gets-fda-nod-for-healthfld-liver-attenuation-software?utm_source=openai))

Api Available

unknown

Certifications

Company Founding

2018

Company Offices

Compliance

Customers

Data Residency

US-only

Data Standards

Deployment Model

Features

Id

SW0257

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

SW0257

Product Name

HealthFLD

Ratings

Regions Available

Related Urls

Release Year

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON