Dr. Alex Paul Kamson Head – Ai & ML PhD IIT Guwahati Ashwin Chandrasekaran Co - Founder Director BD & Ops IÉSEG School of Management MIB, France 15+ Years Dr (Maj) Satish S Jeevannavar Founder & CEO MBBS, Exec MBA (IIM B) 20+ Years Advisors Prof Prasanta Kumar Ghosh IISC, ML / Signal Processing Peter Petersen CEO Sound Hub Denmark (ex Bang & Olufsen) Anuj Pandit Full Stack, Web Technology & Data Architecture Bjørn Knud Andersen Director Front - End Innovation, Head of Technology Accelerators & IPR Phillips Medisize Denmark Dr Jehangir Appoo Scientist | CDL Montreal Canada Artificial Heart Surgery, Cardiothoracic Surgeon Team AiSteth DEVICE DATA INTELLIGENCE SCREEN DETECT PREDICT IEC Passed ISO13485 CDSCO 02 Publications in IEEE 2 0 ,000 + Patient s Screened Pre - Seed & Seed INR 5Cr R&D Grants INR1.5Cr 75L+ Revenues 01 Device 02 Software 03 ML Algo CONFIDENTIAL® Please do not CIRCULATE without prior written permission Visualization Pre - processing Segmentation Classification Suppress noise 1. Identify S1/S2 Sounds 2. Calculate Heart Rate/Cardiac cycle 3. Heart rhythm (Bradycardia/Normal/Tachycardia) 1. Good/Bad Recording 2. Absence/Presence of Murmur AI/ML Module What We Do with Heart Sound Cloud Database Visualization of Fiducial Points Normal Heart Sound Heart Sound with Murmur Original After Denoising Alterations in Signal Properties after Denoising ( Heart Murmur recording) Abnormal Classification AI Diagnosis 1st Step Gallop S3/S4 Murmur Noisy/Unsure Normal 2nd Step Benign/Innocent 3nd Step Valves associated with VHD Stenosis/Regurg itation Septal Defect Early/Mid/Late Atrial/Ventricular Unsure Based on Heart rate: I. Normal II. Bradycardia III. Tachycardia Clinical Study Statistical Report Normal Murmur Accuracy = TP/Total 99.47% 98.34% Specificity = TN/(TN+FP) 98.96% 99.73% Precision = TP/(TP+FP) 98.70% 99.79% Sensitivity = TP/(TP+FN) 99.73% 98.34% F1 - Score =2*Pe*Se/(Pe+Se) 99.21% 99.06% The study is performed in a cardiology department and on a subject presented with an echo report. Distribution of Data for Clinical Study Age Distribution Gender Distribution AiSteth Sales FY 2022 - 23 12 Q1 Q2 Q3 Q4 Series1 800 1,200 3,150 5,200 800 1,200 3,150 5,200 Sales USD * AISTETH SALES 13 14 15 16 Investors Brijesh Agrawal ( Indiamart ) Lakshmi Narayanan (Cognizant) User Testimonials Dr. Arjun - KIMS - Sound quality is better then Littman stethoscope - Visualization of heart sounds Dr. Ravi Jainapur - Sound quality is very good - Can go through the mobile app & listen where murmur is either at systolic or dystolic during examination Dr. Apoorva - PATH India When PATH India and partners embarked on a global search for innovations as part of PHC Tech Challenge, AiSteth was found to be a solution for addressing very common but life threatening heart disorders that is a major public health issue. AiSteth solutions are deployed at the primary health facilities in Satara to aid in early diagnosis of heart disorders. Being a valuable innovator in ensuring quality healthcare services, they have foresight to see possible issues and solutions that can redesign the future. Dr. Srinivas - KIMS - Digitalized data with the help of app on smartphone - Murmurs are easily detectable - AiSteth records and stores the auscultation on the app Dr. Mohammed Idris Shariff - Excellent app - it's a handy companion application for the revolutionary Ai Steth a new age Stethoscope with artificial intelligence capabilities to analyze and evaluate Heart Sounds. - The Heart Sound Visualizations are an innovative way of depicting the regularities and irregularities likewise. - Makes this a great self learning tool and can be deployed in Medical Training institutes as well for training medicos. Any Questions? Reach out to satish.sj @aihighway.org +91 94804 90148 Thank You