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Development of Digital Health Platforms for processing patients’ data using Artificial Intelligence and visual computing Technologies

This project is no longer listed on and may not be available.

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  • Full or part time
    Prof Rami Qahwaji
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

There have been considerable advances in the Internet of Things (IoT) and wearable sensors in recent years, and the arrival of the 5G wireless spectrum will provide the capacity for new sensor platforms and devices to capture and share data reliably between devices and healthcare providers. The aim of this project is to develop new digital healthcare system, which would be designed to exploit recent advances in computing and communication technologies. Smartphones could become advanced healthcare tools in the hands of thousands of patients and practitioners. Equipped with the right software, they could provide easy to use, out-of-the-box solutions to major medical challenges. This could prevent the over-prescription of medication, promote patient self-care, introduce positive lifestyle changes, warn of the early signs of health problems, provide accurate diagnostic and monitoring of long-term conditions, increase awareness, tackle social isolation and loneliness, etc.

Our research group has an established track record in developing medical diagnostic technologies, in collaboration with the National Health Service (NHS). This project will build on this collaboration and will deliver, in close collaboration with the NHS, a new digital health platform for processing patients’ data, using advanced medical imaging and machine learning techniques

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