| An explainable algorithm for detecting drug-induced QT-prolongation at risk of torsades de pointes (TdP) regardless of heart rate and T-wave morphology A Alahmadi, A Davies, J Royle, L Goodwin, K Cresswell, Z Arain, M Vigo, ... Computers in Biology and Medicine 131, 104281, 2021 | 13 | 2021 |
| Understanding cardiology practitioners’ interpretations of electrocardiograms: An eye-tracking study MT Sqalli, D Al-Thani, MB Elshazly, M Al-Hijji, A Alahmadi, YS Houssaini JMIR Human Factors 9 (1), e34058, 2022 | 12 | 2022 |
| Evaluating the impact of pseudo-colour and coordinate system on the detection of medication-induced ECG changes A Alahmadi, A Davies, J Royle, M Vigo, C Jay Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 9 | 2019 |
| Can laypeople identify a drug-induced QT interval prolongation? A psychophysical and eye-tracking experiment examining the ability of nonexperts to interpret an ECG A Alahmadi, A Davies, M Vigo, C Jay Journal of the American Medical Informatics Association 26 (5), 404-411, 2019 | 9 | 2019 |
| Pseudo-colouring an ECG enables lay people to detect QT-interval prolongation regardless of heart rate A Alahmadi, A Davies, M Vigo, C Jay Plos one 15 (8), e0237854, 2020 | 3 | 2020 |
| Personalized, intuitive & visual QT-prolongation monitoring using patient-specific QTc threshold with pseudo-coloring and explainable AI A Alahmadi, A Davies, M Vigo, C Jay Journal of Electrocardiology 81, 218-223, 2023 | 1 | 2023 |
| Novel methods for enhancing ECG visualization research A Alahmadi, A Davies, M Vigo, C Jay Journal of Electrocardiology 78, 15-16, 2023 | | 2023 |
| An Eye-Tracking Based Machine Learning Model Towards the Prediction of Visual Expertise for Electrocardiogram Interpretation MT Sqalli, D Al-Thani, MB Elshazly, M Al-Hijji, A Alahmadi, YS Houssaini International Conference on Medical Imaging and Computer-Aided Diagnosis …, 2022 | | 2022 |
| Human-Machine Perception of Complex Signal Data. A Alahmadi, A Davies, M Vigo, K Dempsey, C Jay Human-Like Machine Intelligence, 239-259, 2022 | | 2022 |
| Exploiting an understanding of human visual perception to facilitate human-machine electrocardiogram interpretation of drug-induced long QT syndrome A Alahmadi PQDT-Global, 2021 | | 2021 |
| Pseudo-colouring ECGs enables lay people to detect drug-induced QT-prolongation regardless of heart rate: A multi-reader, multi-case ROC, psychophysical and eye-tracking study A Alahmadi, A Davies, CJ Markel Vigo | | 2020 |
| Data Visualisation Across Multiple Clinical Trials (With AstraZeneca) A Alahmadi The University of Manchester, 2016 | | 2016 |
| Multimodal, visually explainable AI prediction models to enhance the risk stratification of lethal ventricular arrhythmias A Alahmadi | | |
Alan Davies PhdUniversity of ManchesterEmail verificata su manchester.ac.uk