View Proposal

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Proposer

Radu-Casian Mihailescu

Title

AI-Based Longitudinal Linking of Clinical Records

Goal

Develop and evaluate an AI approach for identifying and linking related clinical events across multiple patient records over time.

Description

The project will explore NLP/LLM techniques to extract clinical events, measurements and interventions from longitudinal records and determine relationships such as follow-up-of, changed-from and outcome-of. The resulting structured timeline will support more accurate reconstruction of a patient's clinical trajectory. Clinical information is often fragmented across multiple notes, reports and encounters. AI-based event extraction and temporal linking can transform these documents into structured longitudinal representations that are easier to analyse and query.

Resources

Background

Url

Difficulty Level

Moderate

Ethical Approval

InterfaceOnly

Number Of Students

1

Supervisor

Radu-Casian Mihailescu

Keywords

artificial intelligence, natural language processing, large language models, clinical nlp, healthcare ai, information extraction, temporal reasoning, longitudinal data

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)
Master of Science in Robotics with Industrial Application
Bachelor of Science in Statistical Data Science
BSc Data Sciences
MSc Applied Cyber Security