Medical Decision Support Apparatus and Methods - US12603178B2
Summary
USPTO granted Patent US12603178B2 to the University-Industry Cooperation Group of Kyung Hee University on April 14, 2026. The patent covers a medical decision support apparatus using visual and linguistic neural networks to process medical images, extract causes via hash map indexing, generate medical reports, and provide proof-based answers to user queries. The patent application was filed March 20, 2023, contains 14 claims, and includes CPC classifications spanning G16H medical informatics, G06V computer vision, and G06N neural networks.
What changed
USPTO issued Patent US12603178B2 for an apparatus and methods for supporting medical decisions. The patent covers a system comprising a visual and linguistic neural learner that extracts visual embeddings from medical images, a cause miner that identifies predetermined indices and outputs causes via a hash map index-concept pair database, a logical reasoner that generates medical reports using background knowledge graphs, and a proof inference unit that produces proof-backed answers to user queries about medical images.\n\nFor healthcare providers, medical device manufacturers, and technology companies developing clinical AI systems, this patent establishes intellectual property rights in the medical decision support domain. Parties developing similar neural network-based medical image analysis systems should consider potential infringement implications and may need to pursue licensing negotiations or design-around strategies to avoid conflicts with the granted claims covering G16H 50/20, G06V 10/82, and G06N 3/0455 classifications.
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Apr 15, 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.
Apparatus and methods for supporting medical decisions
Grant US12603178B2 Kind: B2 Apr 14, 2026
Assignee
University-Industry Cooperation Group of Kyung Hee University
Inventors
Sung Young Lee, Hao Hua-Cam, Ubaid Ur Rehman
Abstract
A medical decision supporting apparatus according to an embodiment may include a visual and linguistic neural learner, which receives a medical image and extracts visual embedding, a cause miner, which extracts a predetermined index based on the visual embedding and pretrained embedding, and outputs a predetermined cause for the medical image based on a hash map including at least one index-concept pair and the extracted predetermined index, a logical reasoner, which generates a medical report based on the visual embedding, a background knowledge graph, and the predetermined cause, and a proof inference unit, which generates an answer including a proof for a user's question about the medical image based on the predetermined cause and the medical report.
CPC Classifications
G16H 50/20 G16H 15/00 G16H 30/40 G16H 50/70 G16H 10/20 G16H 30/20 G16H 50/50 G16H 70/60 G06V 10/82 G06V 30/18 G06V 2201/03 G06F 40/205 G06F 40/30 G06N 3/0455 G06N 3/0464
Filing Date
2023-03-20
Application No.
18123449
Claims
14
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