MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093395 A) filed by Rk University on July 31, 2026, for Intelligent Multi-Modal Ai Framework For Predictive Respiratory Risk Assessment And Personalized Health Intervention.
Inventors include Amit Lathigara; Nirav Bhatt; Paresh Tanna; and Parvez Belim.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Abstract INTELLIGENT MULTI-MODAL AI FRAMEWORK FOR PREDICTIVE RESPIRATORY RISK ASSESSMENT AND PERSONALIZED HEALTH INTERVENTION A system for multimodal respiratory risk assessment includes a Multimodal Input Interface, a Modality Preprocessors, a Quality Weighting Unit, a Fusion Model, and a Personalized Recommendation Interface. The system receives breathing audio, cough audio, oxygen saturation, respiratory waveform data, symptom responses, and environmental observations. The acquired observations are checked for quality, source association, and timing before a model-ready representation is generated. The Quality Weighting Unit produces an analytical result and a confidence indication. The Fusion Model applies a stored response criterion and determines whether to release an output, request reacquisition, or require review. The Personalized Recommendation Interface provides a fused risk score, confidence indication, and personalized monitoring recommendation. The system particularly performs assigning a quality weight to each available modality before generating a fused respiratory-risk representation. An event record stores input identifiers, a processing version, the analytical result, and the delivered response to maintain traceability between acquisition, processing, and output. Fig. 1 Dated July 30, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
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