MEDICORDER

AI System
for car crash detection,
injury detection, pre-diagnostics, and triage.

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Who we are

The MEDICORDER project brings together a group of passionate and dedicated individuals who are enthusiastic about making a global impact in the field of medical technology. While not a formal corporation yet, our team is a collective of experts, each contributing their unique expertise and skills to drive the success of MEDICORDER. What unites us is our shared vision to create a groundbreaking solution that addresses the challenges in trauma assessment and emergency care during traffic accidents.

What we do

MEDICORDER is a AI-based project that aims to revolutionize emergency medical response and enhance road safety during car accidents. The project's primary objective is to develop an innovative system capable of detecting and analyzing impact events on car occupants to provide real-time trauma assessment and triage information to medical personnel.

Our mission

Our project should be seen as pioneering in the field of medical technology and emergency response. Its advanced features, real-time event detection, AI-driven data analysis and pre-diagnosis are the backbone of its potential to improve patient outcomes, reduce medical response times and improve road safety. The development of this system would develop its status as an advanced and revolutionary AI system with profound implications for healthcare and society as a whole.

Our team

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Stanko Gazibarić
Founder,
Head of Project

Medical professional for over 25 years.

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Ivan Ristovski
Co-Founder,
Head of Software development

Software & ML Engineer

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Srdjan Stanković PhD
Head of group for Artificial Intelligence

Professor emeritus, Department for Signals and Systems, Faculty of Electrical Engineering, University of Belgrade.

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Dragan Jovanović PhD
Head of group for Traffics research

Head of Laboratory for road traffic safety at Faculty of technical sciences University of Novi Sad.

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Nikola Jorgovanović
PhD
Head of Biomedical Engineer development

Professor at Faculty of Technical Sciences, University of Novi Sad.

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Miloš Stanković
PhD
AI specialist

Associate Professor at the Faculty of Technical Sciences, Singidunum University, Belgrade and Vlatacom Institute, Belgrade.

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Laszlo Tarjan
PhD
Hardware R&D Expert

Associate Professor at Faculty of Technical Sciences, University of Novi Sad.


News

MEDICORDER at ZGC Forum 2022

MEDICORDER is a finalist at the “100 Best Innovation Technologies for International Cooperation” for International Technology Transfer of 2022 ZGC Forum

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Contacts

info@medicorder.com

© Copyright 2023 MEDICORDER - All Rights Reserved

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