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.

Samir Rathore

Chief Executive Officer

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. 

Prashant 

Technical Advisor

Prashant has over 10+ years of software experience. He has worked in big companies like Amazon, SAS,  Lenovo to startups like Acerta .  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. Prashant completed his masters from University of Waterloo.

Sudhir Rathore 

Chief Medical 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.

Our People

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

You will find the latest information about us on this page. Our company is constantly evolving and growing. We provide wide range of services. Our mission is to provide best solution that helps everyone. If you want to contact us.

Please fill the contact form on our website. We wish you a good day!

Why Klassifier?

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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Unsupervised ML for Medical Imaging

2020-03-27

Image segmentation is an important step in many medical imaging applications. The general approach is to use supervised learning to train a deep learning model. However, deep learning models require large amounts of data, and manually annotating medical images is a challenging task for multiple reasons: it requires a medical expert, takes a lot of manual effort, and involves high economical costs.

#Healthcare #Cardiology

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Email:

aiheartanalytics@gmail.com

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