PhD in Healthcare Analytics, AI, Medical Imaging, and Health Economics

This PhD project at Technological University Dublin focuses on advancing healthcare analytics through the integration of clinical data, medical imaging, artificial intelligence, and health economics. The successful candidate will work on predictive and decision-support models to improve patient outcomes, optimize clinical workflows, and ensure cost-effective healthcare delivery. Emphasis is placed on explainable AI methods that are clinically relevant and interpretable for clinicians, policymakers, and healthcare managers. The research leverages diverse datasets, including MRI scans, radiomics, wearable technology, and economic information, to address complex healthcare challenges. Applicants from diverse backgrounds, including medicine, computer science, data science, and public health, are encouraged to apply.

• Develop predictive and decision-support models using machine learning and statistical techniques to enhance patient care and optimize clinical processes.
• Integrate and analyze diverse datasets, including clinical records, MRI scans, radiomics features, wearable technology data, and economic information.
• Collaborate with healthcare professionals, researchers, and policymakers to ensure models are clinically relevant and interpretable.
• Publish research findings in international journals and present at leading conferences.
• Work with real-world datasets to address complex healthcare challenges and support evidence-based decision-making.
• Tailor research focus to align with your background and interests, covering areas like digital health, health economics, or medical imaging.