MEDxAI Innovations is a company at the forefront of using the latest advancements in Artificial Intelligence to tackle some of healthcare's most pressing challenges. Our team is on a mission to revolutionize the way we diagnose, treat, and ultimately, experience healthcare. We believe that AI has the potential to unlock a golden age of medicine, and we're at the forefront of making it a reality.
At MEDxAI Innovations, our philosophy is centred around personalized care that addresses the unique needs of each patient. We believe in taking a holistic approach to healthcare that considers the physical, emotional, and mental wellbeing of our patients.
• Surgical Simulators
• Diagnostic Kits
• Health Software Plugins
• Therapeutic Devices
• Mediscan
• Ibhar
• MAHSA
• NUH Singapore
Dr. Sheena Christabel Pravin secured a Ph.D. from Anna University in the field of Disordered Speech Processing in 2021. She is currently into building ML/deep learning models for classification/Regression Analysis for medical imaging, Real-time Data Acquisition and Signal Analytics for prognoses, building and configuring AI-assisted diagnostic tools and AI interventions in Fetal Therapy.
Dr.Kiruthika V pursued her PhD in the field of Medical Image Processing. The research involved the development of an intelligent ovarian classification algorithm for infertility diagnosis and treatment. She has also completed a project entitled “Simulation of Membrane Blood Oxygenators” at SCTIMST Trivandrum. Her research interests include - Development of assistive and predictive technologies facilitating healthcare advancements, Medical image and signal analysis aiding diagnosis and prognosis and Healthcare analytics for informed decision making
Dr. Reena Monica P holds a PhD in Nanoelectronics. Her research interest is in the miniaturization of sensors and other computational Integrated Circuits. Her works include - A Carbon Nanotube Field Effect Transistor (CNTFET) based gas sensor fabricated to detect cancer from the Volatile Organic Compounds (VOCs) in the breath of a person, An efficient filter design for a cardiac pacemaker and the physical design of the complete IC and Quantum computing-driven new material design for Green Electronics.
Dr. Susan Elias has more than 32 years of Engineering Teaching Experience. She pursued Post-Doctoral fellowship at IITM and a Ph.D. from Anna University. Her research areas include Responsible AI, Distributed AI, Federated Learning, Continual Learning and Generative AI