USPTO Patent: Convert Chest Radiology Data to Numerical Vectors

ChangeBridge: Patent Apps - Health Informatics (G16H)

Detected March 26th, 2026

Summary

The USPTO has published a patent application detailing a method and device for converting chest radiology data into numerical vectors using deep learning algorithms. This technology aims to analyze, predict, or diagnose diseases based on extracted anatomical and disease-related features from the data.

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What changed

This document is a patent application (US20260088187A1) filed by the USPTO, describing a novel method and device for disease analysis. The core innovation involves converting chest radiology data into numerical vectors using deep learning, which are then used for disease-related analysis, prediction, or diagnosis. The patent focuses on structured data that contextually includes anatomical features and disease-associated elements extracted from the radiology images.

As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on healthcare providers or medical device manufacturers. However, it signifies a technological advancement in health informatics that may influence future product development, diagnostic tools, and research in disease analysis. Companies operating in this space should be aware of this patented technology for potential licensing or competitive landscape analysis.

Source document (simplified)

← USPTO Patent Applications

METHOD AND DEVICE FOR CONVERTING CHEST RADIOLOGY DATA INTO NUMERICAL VECTOR, AND METHOD AND DEVICE FOR ANALYZING DISEASE BY USING SAME

Application US20260088187A1 Kind: A1 Mar 26, 2026

Inventors

Joonghee KIM

Abstract

Exemplary implementations of the present application include a device for analyzing a disease by converting chest radiology data into numerical vectors, the device comprising: an acquisition unit for acquiring chest radiology data; an encoder, that receives the chest radiology data and uses a deep learning algorithm so as to calculate a first numerical vector; and an analysis unit, that uses the first numerical vector calculated by the encoder, so as to provide an analysis result that is information regarding disease-related analysis, prediction, or diagnosis, wherein the first numerical vector is structured data contextually including anatomical features that can be extracted from the chest radiology data, and being associated with features extracted from the chest radiology data.