MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641099951 A) filed by Saveetha Institute Of Medical And Technical Sciences on August 19, 2026, for Sino Vision - Android App.
Inventors include Palle Mahisreeja; Dr Sathish Kumar; and Dr Ramya Mohan.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: SinoVision is an AI-assisted Android-based healthcare application designed to enhance the diagnosis, monitoring, and long-term management of sinus and ENT-related conditions through doctor-supervised clinical workflows. Unlike existing sinus health applications that primarily focus on basic symptom logging, SinoVision integrates multiple critical data sources—including patient-reported symptoms, medication plans, lifestyle triggers, and medical imaging such as CT scans— into a unified and structured platform.The application leverages artificial intelligence and deep learning models to analyze uploaded CT scan images and correlate them with ongoing symptom trends, enabling early severity detection, flare prediction analytics, and clinically meaningful insights. Through interactive dashboards, real-time alerts, and visualized health trends, SinoVision supports continuous sinus monitoring while facilitating effective communication between patients and ENT specialists. Doctor- assigned treatment plans, medication schedules, and follow-up recommendations ensure medical oversight and reduce reliance on manual data entry by patients.Designed with a modular architecture comprising a patient-facing mobile application, a doctor dashboard, and cloud-based analytics, SinoVision delivers a scalable and implementation-ready solution for modern ENT care. By providing structured clinical insights rather than simple health logs, the application empowers both patients and doctors to make informed decisions, improve treatment adherence, and achieve better sinus health outcomes. SinoVision thus represents a meaningful advancement in digital ENT healthcare by combining AI-driven analysis, long-term monitoring, and real-time doctor supervision within a single intelligent platform.
Disclaimer: Curated by HT Syndication.
