MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641007714 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on Jan. 27, for 'a system and method for ai-assisted clinical screening and assessment.'
Inventor(s) include Dr. Meyyammai C. T.; Logeswari J; Victor Devasirvadham; and Durga B.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for AI-Assisted Clinical Screening and Assessment The present disclosure relates to a system and methodology for AI-assisted clinical screening and evaluation that facilitates the early identification of potential health risk indicators through real-time physiological data. The system combines one or more physiological sensors with a processor and memory to collect, normalize, and analyze physiological signals in a way that takes into account the context. From the normalized signals, clinically important micro-features are taken out, and an adaptive screening pathway is chosen based on demographic, environmental, and regional factors. Inference using artificial intelligence only happens after checking that the physiological signals are coherent. This makes sure that the screening outputs are technically linked to real-time sensor data. The system also creates explainable and traceable screening outputs that include risk indicators with confidence grades to help prioritize clinical decisions without making a diagnosis or providing treatment. The disclosed method and system offer a scalable, dependable, and context-sensitive screening solution with a quantifiable technical impact, appropriate for implementation in various healthcare settings and in accordance with legal patentability standards."
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