KardioLabs

Redefining cardiovascular diagnosis

AI

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

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. 

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. 

Mia has 6 years working experience involved with data analysis in various industries, proficient in data processing, predictive modeling, statistics. With education in engineering(Master's degree) and  entrepreneurial experience,  delivers data-driven insights and solutions to business problems.

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.

Samir Rathore

Sudhir Rathore

Ali Asghar Mortazi

Mia Sun 

Ashish did his undergrad at Indian Institute of Technology-Delhi in 2020. He research mostly lies on the intersection of Machine Learning, Mathemetics and Engineering Physics. His last published research is in mathemetics while student at IIT Delhi. 

Paddy has over 10+ years of software experience. He has worked in big companies like Amazon and Lenovo to 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.

Aradhna graduated from USF, Florida with a masters degree in operation research and data science. She has expertise in building machine learning models with a focus on Natural Language Processing. She last worked as lead data scientist in a software company. 

Vijay is a Ph.D. student at the University of Waterloo, Canada, with a research focus in graph algorithms. He completed his Master's at the University of Waterloo with a thesis in graph editing and has previously worked as a software engineering intern at Acerta Analytics. 

               Paddy 

Vijay Subramanya

Ashish Gautam

Aradhna Singh

 

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

KardioLabsAI is built solely on top of Amazon Web Services

Klasifier 

Deep Learning powered solution for Coronary Artery Disease Diagnosis

 

 

Why KardioLabsAI?

Kalcium

 
Deep Learning powered solution for Calcium Scoring

 

 

Kwantifier

Deep Learning powered solution for Quantitative Prognosis of Cardiac Diseases

 

 

Email:

contact@kardiolabs.ai

 

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Address:

11

11250 - OLD ST AUGUSTINE ROAD 15-252 
JACKSONVILLE, FL 32257

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