UCL Centre for Medical Image Computing


Reem Ahmad - Eda Ozyigit - CMIC/WEISS joint seminar series

07 October 2020, 1:00 pm–2:00 pm

Reem Ahmad - Eda Ozyigit - talks as part of the CMIC/WEISS joint seminar series

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Reem Ahmad

Title - Computational Anatomical Models for Paediatric Radiotherapy
Abstract - A common treatment modality for paediatric cancer patients is radiotherapy. However, as this cohort is still developing, the damaging effects of radiation can have detrimental effects on both their development and can cause late side effects that will present in their adulthood. In order to assess the viability of new upcoming techniques, computational anatomical models are needed to accurately determine the radiation dose to the patient. These models will act as a vital quality assurance tool within radiotherapy, whereby the patient is more accurately modelled based on their gender and age, allowing for more precise calculations to be carried out. From this the dose to various organs and in turn, treatment risk evaluation can be conducted. I will present work that evaluates current commercially available paediatric models and discuss their relevance for a cancer patient cohort.

Eda Ozyigit

Title - MuCIGREF: Multiple Computer-interpretable Guideline Representation and Execution Framework for Managing Multimorbidity Care
Abstract - Clinical Practice Guidelines (CPGs) supply evidence-based recommendations to healthcare professionals (HCPs) for the care of patients. Their use in clinical
practice has many benefits for patients, HCPs and medical centres, such as enhancing the quality of care, and reducing unwanted care variations. However,
there are many challenges limiting their implementations. Initially, CPGs predominantly consider a specific disease, and only few of them refer to multimorbidity
(i.e. the presence of two or more health conditions in an individual) and they are not able to adapt to dynamic changes in patient health conditions. The manual
management of guideline recommendations are also challenging since recommendations may adversely interact with each other due to their competing targets and/or they can be duplicated when multiple of them are concurrently applied to a multimorbid patient. These may result in undesired outcomes such as severe disability, increased hospitalisation costs and many others. Formalisation of CPGs into a Computer Interpretable Guideline (CIG) format, allows the guidelines to be interpreted and processed by computer applications, such as Clinical Decision Support Systems. This enables provision of automated support to manage the limitations of guidelines. In this talk, I will introduce you a new approach for the problem of combining multiple concurrently implemented CIGs and their interrelations to manage multimorbidity care.