AI-Powered Ultrasound Scan Review Generator Patent Application
Summary
USPTO published patent application US20260100287A1 by Global Ultrasound Institute Inc. on October 4, 2024. The application covers an AI model trained on ultrasound scan datasets that generates automated assessment facts and written feedback for ultrasound reviews, with multi-language support and configurable per-exam review interfaces.
What changed
USPTO published patent application US20260100287A1 disclosing an AI-powered system for generating automated feedback on ultrasound scans. The system uses machine learning models trained on diverse ultrasound datasets to synthesize assessment facts, evaluate scan completeness and findings accuracy, and generate written reviews configurable per examination type. The AI supports multiple languages and adapts to various ultrasound modalities and clinical settings.
Healthcare providers implementing AI-assisted diagnostic tools and medical device manufacturers developing similar ultrasound analysis systems should monitor this application for potential licensing needs or competitive implications. The broad claim scope covering AI-generated clinical feedback could affect future product development strategies in diagnostic imaging AI.
What to do next
- Monitor USPTO database for prosecution updates on this patent application
- Review patent claims for potential infringement exposure if developing similar AI ultrasound tools
- Assess competitive landscape for AI-assisted diagnostic review systems
Archived snapshot
Apr 10, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
AI-POWERED ULTRASOUND SCAN REVIEW GENERATOR
Application US20260100287A1 Kind: A1 Apr 09, 2026
Assignee
Global Ultrasound Institute, Inc.
Inventors
Douglas Williams, Svetlana Zacharchenko
Abstract
A system and method are disclosed which pertain to generating feedback on ultrasound scans. The system includes an artificial intelligence (AI) model, trained on a diverse dataset of ultrasound scans and associated findings, which processes scan data to generate a set of assessment facts. A user interface, driven by per-exam configuration, allows the reviewer to select appropriate items based on findings accuracy, scan completeness, and other teaching points. The AI model synthesizes the assessment facts and instructions to generate a written review of the ultrasound scan. The system can provide feedback in multiple languages and is adaptable to various types of ultrasound scans and healthcare settings.
CPC Classifications
G16H 70/60 G16H 30/40
Filing Date
2024-10-04
Application No.
18907254
Named provisions
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