AI
KardioLabs
Redefining cardiovascular diagnosis
Redefining Cardiovascular Diagnosis
AI Powered Quantitative Prognosis & Diagnosis Of Heart
We are developing Artificial intelligence based solutions for automated reporting of CT Coronary Angiogram for patients suffering from coronary artery disease. With Generative AI capablities we provide an effective way for you to understand the diagnosis better and easier
Cardiology is a branch of medicine that deals with the disorders related to heart. This includes diagnosis and treatment of congenital heart defects, coronary artery disease, heart failure, valvular heart disease and electrophysiology
Overview
Heart Disease are leading cause of death world wide. One person dies every 34 second in USA from heart disease. 1 out of every 3 death worldwide is due to Cardiovascular Disease. American College of Cardiology recommends CTCA as front line test for patients with CAD.
695,457
TOTAL CARDIAC MORTALITY 2021
70%
considered low risk by clinical scoring
30%
STENT WASTEFUL IF FFR NOT USED
84%
INCREASE IN CTCA FROM 2010
65%
INVASIVE TEST HAVE NO BLOCKAGE
Deep Learning Solutions
Gold standard is to determine coronary artery diseases by team of cardiologist and radiologist. It is very invasive, costly and time-consuming process.
Our AI based approach use the still and cine images of CT angiogram and detect the blockages and coronary artery disease saving, time, cost and better decision making for healthcare provider (cardiologists) and patient.
Why KardioLabsAI?
Our PARTNERS say about us
Testimonials
KardiolabsAI have developed a novel AI-based medical diagnostic product that has the potential to radically transform and advance cardiac diagnosis by augmenting human performance, advancing the capacity of radiologists and cardiologists, reducing errors and variability, saving time and reducing costs. KardiolabsAI is an alumni of ECHO incubator at Ted Rogers Centre of Heart Research and University of Toronto.
TBU
TBU
Product
Klassifier
Stenosis Detection and Quantification
Kalcium
Calcium Scoring for Chest CT and Cardiac CT
Kwantifier
Deep Learning powered solution for Quantitative Prognosis of Cardiac Diseases with
Virtual FFR
one stop solution
KardiolabsAI
our in house built deep learning Solution offers faster diagnosis , reduce cost , is fully automated and results in faster decision making to improve patient care and save lives. integrated with a conversational bot to provide indepth infromation on the diagnosis.
Our People
Carol Coplan
General counsel and business development executive with wide-ranging experience in high tech, healthcare and real estate. More than 20 years of experience helping rapidly growing companies scale and grow.
Vikash Gupta is an Assistant Professor at the Department of Radiology at Mayo Clinic, Florida. He is a contributor to the MONAI framework for medical imaging and AI. He has been a contibutor and reviewer to confernces and journals like MICCAI, ISBI, Transaction on Medical Imaging, and Medical Image Analysis
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