Dr Evangelia Kyrimi
Lecturer in AI and Data Science
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Explainable AI, Bayesian Networks, Causality, Clinical decision support systems, Expert elicitation, Counterfactual reasoning
Interests
Dr Kyrimi's research interests lie in Bayesian modelling and decision support under uncertainty in healthcare. Her research focuses on (1) developing clinical decision support systems using a combination of knowledge and data and (2) translating causal models into explainable AI (XAI) systems that users can trust.The latter is a part of a 5-year research fellowship funded by the Royal Academy of Engineering (RAEng). Technological breakthroughs have led to the development of sophisticated healthcare systems, but these will only become widely adopted if patients and healthcare professionals have confidence in their recommendations. Without a solution to the problem of user trust and user acceptance of healthcare technologies generally, the undeniable benefits of these systems will never be realised and efforts to develop accurate health-AI will be in vain. The ‘right to explanation’ and regulations on algorithmic decision-making already exist. Therefore, the ExAIDSS project focuses on translating causal AI models into explainable AI systems that users can trust and adopt in healthcare.
The objectives of this prestigious research fellowship are as follows:
Investigate the fundamentals of explanation: Explore fundamental questions that have been neglected, such as what makes an explanation of AI “good”.
Develop explanation algorithms that incorporate causality: Develop explanation algorithms that produces meaningful causal explanations for various types of reasoning.
Create user-specific explanation outputs: Design an explanation that recognises who is interacting with it and the dynamics of clinical decision making.
Create an evaluation protocol: Propose a protocol for evaluating different explanations purposes.
Integrate the explanation algorithm and representation into existing healthcare digital platforms.
(more details are available https://exaidss.com/)
Dr Kyrimi is also interested in understanding and bridging the existing gap between developing accurate clinical decision support systems and implementing them into practice.
Publications
Publications of specific relevance to the Centre for Multimodal AI2024
Wohlgemut JM, Pisirir E, Stoner RS, Perkins ZB, Marsh W, Tai NRM and Kyrimi E (2024). A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems. BMC Medical Informatics and Decision Making, Springer Nature vol. 24 (1) 01-11-2024
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Yet B, Marsh W, Perkins ZB and Tai NRM (2024). Bayesian networks may allow better performance and usability than logistic regression. Critical Care, Springer Nature vol. 28 (1) 11-07-2024
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Christian M, Hurst T, Marsh W, Perkins ZB and Tai NRM (2024). Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome. Trauma Surgery & Acute Care Open, BMJ vol. 9 (1) 01-01-2024
McLachlan S, Daley B, Saidi S, Kyrimi E, Dube K, Grossan C, Neil M, Rose L and Fenton N (2024). Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. 01-01-2024
2023
Kyrimi E, Stoner RS, Perkins ZB, Pisirir E, Wohlgemut JM, Marsh W and Tai NRM (2023). Updating and recalibrating causal probabilistic models on a new target population. Journal of Biomedical Informatics, Elsevier vol. 149 09-12-2023
Tandle S, Wohlgemut JM, Marsden MER, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB and Tai NRM (2023). Enhancing the clinical relevance of haemorrhage prediction models in trauma. Military Medical Research, Springer Nature vol. 10 (1) 20-09-2023
Wohlgemut JM, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB and Tai NRM (2023). Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis. JAMIA Open, Oxford University Press (OUP) vol. 6 (3) 04-07-2023
Pisirir E, Wohlgemut JM, Kyrimi E, Stoner RS, Perkins ZB, Tai NRM and Marsh DWR (2023). A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models. 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI). 29-06-2023
Wohlgemut JM, Marsden MER, Stoner RS, Pisirir E, Kyrimi E, Grier G, Christian M, Hurst T, Marsh W, Tai NRM and Perkins ZB (2023). Diagnostic accuracy of clinical examination to identify life- and limb-threatening injuries in trauma patients. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Springer Nature vol. 31 (1) 07-04-2023
2022
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, et al. (2022). Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nature Medicine, Springer Nature vol. 28 (10), 2218-2218. 12-08-2022
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, et al. (2022). Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. The BMJ, BMJ vol. 377 18-05-2022
McLachlan S, Schafer B, Dube K, Kyrimi E and Fenton N (2022). Tempting the Fate of the furious: cyber security and autonomous cars. International Review of Law Computers & Technology, Taylor & Francis vol. 36 (2), 181-201. 04-05-2022
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B, Ibrahim M, Liu X, Mateen BA, Mathur P, McCradden MD, Morgan L, Ordish J, Rogers C, Saria S, Ting DSW, Watkinson P, et al. (2022). Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. Nature Medicine, Springer Nature vol. 28 (5), 924-933. 01-05-2022
Wohlgemut JM, Kyrimi E, Stoner RS, Pisirir E, Marsh W, Perkins ZB and Tai NRM (2022). The outcome of a prediction algorithm should be a true patient state rather than an available surrogate. Journal of Vascular Surgery, Elsevier vol. 75 (4), 1495-1496. 01-04-2022
McLachlan S, Kyrimi E, Dube K, Fenton N and Webley LC (2022). Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process. Artificial Intelligence and Law, Springer Nature vol. 31 (1), 169-194. 24-01-2022
2021
Kyrimi E, McLachlan S, Dube K, Neves MR, Fahmi A and Fenton N (2021). A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. Artificial Intelligence in Medicine, Elsevier vol. 117 13-05-2021
Kyrimi E, Dube K, Fenton N, Fahmi A, Neves MR, Marsh W and McLachlan S (2021). Bayesian networks in healthcare: What is preventing their adoption? Artificial Intelligence in Medicine, Elsevier vol. 116 22-04-2021
2020
Mclachlan S, Paterson H, Dube K, Kyrimi E, Dementiev E, Neil M, Daley BJ, Hitman GA and Fenton NE (2020). Real-time Online Probabilistic Medical Computation using Bayesian Networks. 2020 IEEE International Conference on Healthcare Informatics (ICHI). 03-12-2020
Mclachlan S, Kyrimi E, Daley BJ, Dube K, Marsden M, Finer S, Hitman GA and Fenton NE (2020). Incorporating Clinical Decisions into Standardised Caremaps. 2020 IEEE International Conference on Healthcare Informatics (ICHI). 03-12-2020
Fahmi A, MacBrayne A, Kyrimi E, McLachlan S, Humby F, Marsh W and Pitzalis C (2020). Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis. 2020 IEEE International Conference on Healthcare Informatics (ICHI). 03-12-2020
Dube K, McLachlan S, Zanamwe N, Kyrimi E, Thomson JS and Fenton N (2020). Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. 2020 IEEE Global Humanitarian Technology Conference (GHTC). 01-11-2020
Kyrimi E, Raniere Neves M, Mclachlan S, Neil M, Marsh W and Fenton N (2020). Medical idioms for clinical Bayesian network development. Journal of Biomedical Informatics, Elsevier 30-06-2020
Daley BJ, Kyrimi E, Dube K, Fenton NE, Hitman GA and McLachlan S (2020). Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. Studies in Health Technology and Informatics, IOS Press vol. 270, 1239-1240. 16-06-2020
McLachlan S, Dube K, Hitman GA, Fenton NE and Kyrimi E (2020). Bayesian networks in healthcare: Distribution by medical condition. Artificial Intelligence in Medicine, Elsevier BV vol. 107, 101912-101912. 12-06-2020
Dube K, McLachlan S, Zanamwe N, Kyrimi E, Thomson JS and Fenton N (2020). Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. 05-06-2020
McLachlan S, Kyrimi E, Dube K and Fenton N (2020). Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. 2th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF Prague 22 Feb 2019 - 24 Feb 2019. 06-05-2020
McLachlan S, Kyrimi E, Dube K, Hitman G, Simmonds J and Fenton N (2020). Towards standardisation of evidence-based clinical care process specifications. Health Informatics Journal 18-03-2020
Kyrimi E, Mossadegh S, Tai N and Marsh W (2020). An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. Artificial Intelligence in Medicine, Elsevier vol. 103 31-01-2020
2019
Mclachlan S, Dube K, KYRIMI E and Fenton N (2019). LAGOS: Learning Health Systems and how they can integrate with patient care. BMJ: Health & Care Informatics, BMJ 15-10-2019
MCLACHLAN S, KYRIMI E, FENTON N and Dube K (2019). Clinical Caremap Development: How can caremaps standardise care when they are not standardised? HEALTHINF 2019 Prague, Czech 22 Feb 2019 - 24 Feb 2019. 22-02-2019
2018
Scattergood S, Marsden M, Kyrimi E, Ishii H, Doddi S and Sinha P (2018). Combined ultrasound and Sestamibi scintigraphy provides accurate preoperative localisation for patients with primary hyperparathyroidism. Annals of The Royal College of Surgeons of England, Royal College of Surgeons of England vol. 101 (2), 97-102. 05-10-2018
Goujon S, Kyrimi E, Faure L, Guissou S, Hémon D, Lacour B and Clavel J (2018). Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registry. Cancer Medicine, Wiley vol. 7 (10), 5299-5314. 19-09-2018
2016
MARSH DWR and Kyrimi E (2016). A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making. Conference on Probabilistic Graphical Models Lugano, Switzerland 6 Sep 2016 - 9 Sep 2016. 09-09-2016
Mossadegh S, Kyrimi E, Marsh W and Tai N (2016). Implementation science: a Bayesian prediction tool for acute traumatic coagulopathy. Society of Academic and Research Surgery Annual Meeting. 12-04-2016
2015
Kyrimi E (2015). Méthodes de détection d’excès localisés d’incidence des leucémies de l’enfant. Revue d'Epidémiologie et de Santé Publique, Elsevier vol. 63 (2) 01-04-2015