AI-Powered Predictive Analytics and Generative AI for Enhanced Personalized Healthcare

School of Engineering and Technology
Centre for Intelligent Systems (CIS)
Associate Professor Paul Kwan

Synopsis

This project aims to transform personalized healthcare by integrating advanced AI techniques, including Generative AI and Large Language Models (LLMs). The primary goal is to develop predictive analytics tools that utilize patient data from electronic health records, wearable devices, and other health monitoring systems to forecast health trends, enhance diagnostic accuracy, and provide tailored treatment plans. Generative AI will be employed to create synthetic datasets, particularly for rare conditions, to improve model training and robustness. LLMs will be leveraged to interpret complex medical data and generate contextual insights, aiding in the development of personalized treatment recommendations. Collaboration with healthcare providers and medical institutions will ensure the real-world applicability and integration of these AI solutions into clinical practice, ultimately enhancing patient outcomes and operational efficiency.

Information and Computing Sciences; Medical and Health Sciences; Technology
Predictive Analytics, Generative AI, Large Language Models, Personalised Healthcare
Anytime
Either Masters or Doctorate
Brisbane; Melbourne; Rockhampton; Sydney