AI Powered Quantitative Prognosis 

We are developing Artificial intelligence based solutions for automated reporting of CT Coronary Angiogram for patients suffering from coronary artery disease. 

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

Deep Learning based 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.

Our People

Sudhir Rathore 

Chief Medical Officer

Paddy

Technical Advisor

Samir Rathore

Chief Executive Officer

MBBS, MD, FRCP, FACC, FESC

Has over three decades of rich experience in healthcare domain, both in clinical cardiology and clinical research in India, Japan and United Kingdom. He has been working as Consultant Interventional Cardiologist with special interest and clinical lead in CT Coronary angiogram service at Frimley NHS Foundation NHS Trust, Surrey, UK for last 10 years.

Paddy has over 10+ years of software experience. He has worked in big companies and startups. He has experience growing the engineering department from zero to multiple teams and building and designing the product from scratch. His expertise lies in bigdata and Machine Learning.

Samir Rathore has over 27+ years of rich experience in IT and business consulting in India, Malaysia, United Kingdom and United States and worked with world class  companies like Infosys, Hitachi at various leadership positions. Samir complete his Masters in Management at Indian Institute of Management (IIM), Ahmedabad, India in 1998. 

Ali Asghar Mortazi

Associate Director, Data Science, Medical Imaging

Ali has more than 5 years experience in developing and designing optimum and efficient deep learning and artificial intelligence algorithms for medical image analysis. He got his Ph.D. from Center for Research in Computer Vision at University of Central Florida and has done internship as a research scientist in Harvard Medical School and Boston Children's Hospital. Also, he has more than two years experience as a postdoctoral researcher at University of Pennsylvania in which he was developing different machine learning methods for disease quantification from different image modalities. 

Meet Our Contributors (Investors/Partners/Customers/Resource)

KardioLabsAI is built solely on top of Amazon Web Services

Klassifier 

Deep Learning powered solution for cardiovascular diagnosis. 

InHouse algorithms built with Neural Network on top of AWS

Why KardioLabsAI?

Kwantifier

Deep Learning powered solution for quantitative prognosis

InHouse algorithms built with Neural Network on top of AWS

State of CardioVascular Diagnosis

2020-03-27

CARDIOVASCULAR DISEASE IS the leading cause of death, globally. Of these deaths, 42% are caused by coronary artery disease (CAD).  CAD patients suffer from a build up of plaque and blockage in the coronary arteries, which results in a corresponding decrease of blood flow to the cardiac muscle, especially under stress. In severe cases, this reduction in flow could result in myocardial ischemia and potentially death. Studies have shown that revascularization of blocked coronary arteries is preferred for severe lesions, whereas mild to moderate lesions are best treated using medical therapy alone. The current options available for patients are as follows:

#Healthcare #Cardiology

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AWS and KardioLabsAI

2020-03-29

We are now part of the AWS Activate program. AWS Activate is a free program specifically designed for startups and early stage entrepreneurs that offers the resources needed to get started on AWS. This is why we choose AWS over other cloud providers:

#Healthcare #Cardiology #AWS #AmazonWebServices

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Email:

aiheartanalytics@gmail.com

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