MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641041350 A) filed by Hanumanth Sastry Sistla; and Dr Kiran Kumar Ramesh Dyawarkonda, Bangalore, Karnataka, on March 31, for 'generative ai platform for real-time cardiac clinical decision support and procedural guidance using smart interventional glasses.'
Inventor(s) include Hanumanth Sastry Sistla; and Dr Kiran Kumar Ramesh Dyawarkonda.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A Generative AI platform is disclosed for real-time cardiology decision support and procedural guidance across emergency and interventional settings using smart interventional glasses. The system comprises a head-mounted wearable device with integrated camera, display, microphones, and wireless connectivity, coupled to LLM engine that ingests multimodal clinical data including 12-lead electrocardiograms, vital signs, imaging, and structured clinical parameters. The LLM engine integrates evidence-based cardiology protocols with AI-assisted ECG interpretation and automated risk scoring to generate context-aware recommendations for acute coronary syndromes, cardiac arrest, paediatric and adult congenital heart disease, and structural heart interventions. A virtual assistant running on the glasses provides hands-free, step-by-step procedural navigation for emergency care (ACLS and post-ROSC pathways) and catheter-based interventions, including coronary angiography, percutaneous coronary intervention, and structural heart procedures, while dynamically adapting prompts to real-time physiologic and procedural events. This platform further supports complication recognition and bailout guidance, secure tele-mentoring, and remote proctoring by streaming annotated video and decision overlays to remote experts, thereby reducing variability, reinforcing guideline adherence, and improving safety and training in interventional cardiology workflows. The platform utilizes real-time data processing, cloud-assisted AI inference, and edge computing to ensure rapid decision-making in high-acuity clinical settings. The invention further enhances clinical accuracy, procedural safety, and operational efficiency while reducing cognitive load on clinicians during complex cardiovascular interventions."
Disclaimer: Curated by HT Syndication.
