Multimodal Clinical System Patent Application US20260112493A1
Summary
USPTO published patent application US20260112493A1 for a multimodal clinical system on April 23, 2026, filed December 10, 2025 as Application No. 19414783. The application covers a method for training a model using bidirectional multimodal attention blocks that learn and fuse representations within and across modalities simultaneously. Inventors are Yuanxu GAO and Kang ZHANG.
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GovPing monitors USPTO Patent Applications - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 137 changes logged to date.
What changed
USPTO published patent application US20260112493A1 for a multimodal clinical system, covering methods for training AI models using bidirectional multimodal attention blocks to learn intramodal and intermodal connections. The application was filed December 10, 2025 with inventors Yuanxu GAO and Kang ZHANG.
Technology companies and healthcare providers developing multimodal AI for clinical applications should review this filing for potential freedom-to-operate implications in the healthcare AI space. Patent applications in this domain may signal competitive activity in multimodal clinical decision support systems.
Archived snapshot
Apr 23, 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.
METHODS, DEVICES, AND SYSTEMS USING MULTIMODAL INPUT FOR CLINICAL APPLICATIONS
Application US20260112493A1 Kind: A1 Apr 23, 2026
Inventors
Yuanxu GAO, Kang ZHANG
Abstract
Disclosed herein is a method for training a model comprising embedding data in a first modality in a first embedding layer to generate a sequence of first modality tokens, and embedding data in a second modality in a second embedding layer to generate a sequence of second modality tokens; passing the sequence of first modality tokens and the sequence of second modality tokens to a plurality of bidirectional multimodal attention blocks to generate a bag of unified tokens, wherein each bidirectional multimodal attention block applies attention to capture intramodal connections and intermodal connections, and wherein both the intramodal connections and the intermodal connections are encoded into latent representations, and representations within the same modality and across different modalities are learned and fused simultaneously.
CPC Classifications
G16H 50/20 G06N 3/0464 G16H 10/60 G16H 30/40
Filing Date
2025-12-10
Application No.
19414783
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