Personal profile
Biography
I am a BHF Principal Investigator and Senior Data Scientist at The University of Edinburgh, specialising in data science, medical statistics and the development of AI-driven decision-support tools. My research focuses on advanced statistical modelling for acute cardiac disease diagnosis. I have secured funding for innovative projects, developed machine learning algorithms for predicting heart failure and heart attack diagnoses, and published high-impact original research in leading scientific journals. My goal is to implement AI-driven decision-support tools into clinical practice to enhance patient care.
My research in a nutshell
I develop AI-guided decision-support tools that help doctors diagnose serious heart conditions quickly and accurately in the Emergency Department. By using large-scale healthcare data, I aim to improve early diagnosis, guide treatment decisions, and support better outcomes for patients with cardiovascular disease.
Current Research Interests
My research interests include artificial intelligence, cardiovascular data science, clinical decision support, and the use of linked healthcare data to improve diagnosis, risk stratification, and patient outcomes in cardiovascular disease.
Education/Academic qualification
Data Science/Precision Medicine, Doctor of Philosophy (PhD), Improving diagnosis in acute cardiac care using statistical machine learning., The University of Edinburgh
Medical Statistics, Master in Science, University of Southampton
Statistics, Bachelor of Science
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Collaborations and top research areas from the last five years
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Clinician interaction with a machine learning algorithm for the assessment of patients with possible acute heart failure: a qualitative study
Ferry, A. V., Lee, K. K., Doudesis, D., Tuck, C., Gray, A. J. & Mills, N. L., 24 Apr 2026, (E-pub ahead of print) In: Emergency Medicine Journal.Research output: Contribution to journal › Article › peer-review
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Impact of switching high-sensitivity cardiac troponin assays on risk stratification in suspected acute coronary syndrome
Li, Z., Boeddinghaus, J., Bularga, A., Taggart, C., Wereski, R., Chapman, A. R., Lee, K. K., Doudesis, D., Tuck, C., Fineran, P., Jenks, S., Pattenden, R., Malo, J., Harry, D., Thurston, A. J. F., Tew, Y. Y., McDermott, M., Gray, A., Cruden, N. L. M. & Anand, A. & 1 others, , 27 Mar 2026, (E-pub ahead of print) In: European Heart Journal – Acute CardioVascular Care. 4 p., zuag042.Research output: Contribution to journal › Article › peer-review
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Machine learning to optimize the diagnostic performance of natriuretic peptides for acute heart failure across age groups
Perez Vicencio, D., Doudesis, D., Thurston, A. J. F., Chenevier-Gobeaux, C., Claessens, Y.-E., Lopez Ayala, P., Belkin, M., Wussler, D., deFilippi, C., Seliger, S., Moe, G., Fernando, C., Bayes-Genis, A., Pinto, Y., Gaggin, H. K., Wiemer, J. C., Möckel, M., Rutten, J. H. W., Gargani, L. & Pugliese, N. R. & 19 others, , 3 Feb 2026, In: ESC heart failure. 13, 1, 10 p., xvaf006.Research output: Contribution to journal › Article › peer-review
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Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records
Georgiev, K., Doudesis, D., McPeake, J., Mills, N. L., Shenkin, S. D., Fleuriot, J. D. & Anand, A., 17 Dec 2025, In: npj Digital Medicine. 8, 764 .Research output: Contribution to journal › Article › peer-review
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Safety of Using Risk Stratification Along With High-Sensitivity Cardiac Troponin in the Emergency Department: A Secondary Analysis
HISTORIC Investigators, Li, C., Doudesis, D., Bularga, A., Wereski, R., Taggart, C., Lowry, M., Chapman, A. R., Tuck, C., Ferry, A., Gray, A., Newby, D. E., Anand, A., Lee, K. K. & Mills, N. L., 11 Nov 2025, In: Journal of the American College of Cardiology. 86, 19, p. 1738-1748 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Projects
- 1 Active
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Artificial intelligence to improve the diagnosis of acute cardiac conditions in clinical practice
Doudesis, D. (Principal Investigator), Bernabeu, M. O. (Co-investigator), Lee, K. (Co-investigator), Mills, N. (Co-investigator) & Williams, S. (Co-investigator)
1/01/25 → 31/12/27
Project: Research