System and method for automated diagnosis
Summary
USPTO granted patent US12597520B2 to Regents of the University of Michigan for an automated diagnosis method. The patent covers a system receiving user data inputs, converting them to stored data, determining severity indexes, predicting medical conditions, and identifying presence/absence of conditions for output. The patent contains 20 claims and is classified under G16H (Health Informatics).
What changed
USPTO issued patent grant US12597520B2 for an automated diagnosis system and method to Regents of the University of Michigan. The invention covers a five-step process: receiving user data inputs, converting data for storage, determining severity indexes, predicting medical conditions based on severity, and identifying condition presence for user output. The patent is classified under CPC codes G16H 50/20, G16H 50/30, G16H 10/60, and G16H 40/67.
Competitors developing automated diagnostic software should assess whether their products may infringe this patent and consider design-around options or licensing arrangements. Healthcare technology companies and medical device manufacturers implementing diagnostic algorithms should conduct freedom-to-operate analyses to avoid potential infringement exposure.
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Apr 7, 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.
System and method for automated diagnosis
Grant US12597520B2 Kind: B2 Apr 07, 2026
Assignee
REGENTS OF THE UNIVERSITY OF MICHIGAN
Inventors
Prashant Mahajan, Dilip Dubey
Abstract
An automated diagnosis method executed by one or more computing devices including: a) receiving one or more data inputs inputted by a user into a user computing device; b) converting data from the one or more data inputs into stored data by one or more processors and storing within one or more storage mediums; c) determining one or more severity indexes based on the stored data with the one or more processors; d) predicting a presence of one or more medical conditions based on the one or more severity indexes by the one or more processors; and e) identifying a presence, an absence, or both of the one or more medical conditions by the one or more processors and transmitting for output to the user computing device.
CPC Classifications
G16H 50/20 G16H 50/30 G16H 10/60 G16H 40/67
Filing Date
2021-05-26
Application No.
17928043
Claims
20
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