MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017391 A) filed by Sr University, Ananthasagar, Warangal, Telangana, on Feb. 17, for 'hybrid neuro-symbolic intelligence architecture for high-precision brain anomaly detection with explainable decision governance.'
Inventor(s) include Faiza Iram; and Dr. Mohammed Ali Shaik.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The current invention offers a Hybrid Neuro-Symbolic Intelligence Architecture of the high precision detection and control of brain anomalies. The system fills the gap between the statistical deep learning and the formal clinical logic by combining a Neural Perception Layer in the extraction of the voxel-based features with a Symbolic Governance Layer in the diagnostic auditing of the rule-based system. The process of processing neuroimaging data, based on multimodal sources (MRI/CT) is implemented by 3D transformer-based encoder intended to detect any possible anomalies, which are mapped into discrete clinical predicates. Such predicates are tested on a formalized medical knowledge base of anatomical priors and pathological rules in order to guarantee diagnostic consistency. The architecture has a bi-directional feedback loop to refine ambiguous areas repeatedly and an Uncertainty Quantification Unit, which results in a safety-switch of edge cases. An Explainability Engine transforms internal symbolic proof-traces into human-readable clinical reports, and indicates the logical lineage of the evidence support of every diagnosis. The invention offers a scalable and self-correcting clinician- verifiable solution to state of the art neuro-diagnostics by basing the recognition of neural features on a transparent decision governance framework."
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