Zuzanna Wójcik
- Email: sczw@leeds.ac.uk
- Thesis title: Using Artificial Intelligence to Predict Chemotherapy Management and Quality of Life from Patient-Reported Outcome Measures
- Supervisor: Professor Vania Dimitrova, Professor Galina Velikova, Dr Kate Absolom, Dr Lorraine Warrington
Profile
I am a PhD student at the UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care, University of Leeds. Previously, I completed a bachelor’s degree in Psychology at the University of Essex and master’s degree in Digital Health at the University of Bristol. I developed my interest in using artificial intellligence to support healthcare through working in clinical setting during my psychology placement and learning about technology applications in medicine during my master’s degree.
Research interests
My research focuses on patient-centric approach to artificial intelligence research incorporating patient-reported outcome measures for healthcare outcomes predictions.
Cancer treatment adverse effects can cause severe health issues requiring hospital care. Identifying patients susceptible to chemotherapy toxicity could enhance treatment decisions and healthcare quality. While Artificial Intelligence (AI) is commonly used in predicting clinical outcomes, it often overlooks patient perspectives. Integrating Patient-Reported Outcome Measures (PROMs) in AI models has a potential to enhance their predictive performance. My project investigates AI methodologies applied to PROMs data and assesses baseline and longitudinal PROMs' predictive value to forecast changes in quality of life and hospital utilisation during chemotherapy. This project ensures the involvement of patients and clinicians in the design and evaluation of PROMs-based AI models.
Qualifications
- BSc Psychology, University of Essex
- MSc Digital Health, University of Bristol