I-MeData - Technology and Methodology

תפריט ראשי עליון

The I-Medata AI Center leverages a range of innovative technologies and methods to populate its data ocean. Sources include biosensors, 3-dimensional printing data, robots, etc.
The center uses the data collected to develop data-driven products to boost medical care quality; to help predict and identify medical conditions as early as possible; to prioritize and optimize treatment options; to support decision making; and for other objectives.
The center applies cutting-edge AI methodologies and technologies such as deep learning (DL), face motion detection (FMD), virtual reality (VR), and augmented reality (AR).

Data tech & devices
Contact Bio-Sensors
(Non-Contact Bio-Sensors (Cameras, Infra-Red Sensors
Internet of things (IOT)
3D Printers
Robots

Data driven Products
Detection (Early diagnostics and screening)
Prediction
Prioritization
Decision Support System (DSS)
Ect

Methods
Artificial Intelligence (AL)
Augmented Reality (AR)
Deep Learning (DL)
Face Motion Detection (FMD)
Virtual reality (VR)
Sandbox

I-Medata