Alaa Alahmadi

About

Dr Alaa Alahmadi is an Assistant Professor of Computer Science at the School of Computing, Newcastle University, and a member of the Interdisciplinary Computing and Complex BioSystems (ICOS) research group. Her research lies at the intersection of AI, cognitive science, and healthcare, focusing on ECG monitoring and drug-induced long QT syndrome. She develops explainable AI and novel data visualisation methods to enable accurate interpretation of ECGs, collaborating with clinical and industry partners. Her work has been recognised with awards including MIT Innovators Under 35.

Education

• MSc University of Manchester
• PhD University of Manchester

Selected publications

• Attitudes of clinicians to a 'human-like' explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies
• Personalized, intuitive & visual QT-prolongation monitoring using patient-specific QTc threshold with pseudo-coloring and explainable AI
• Understanding Cardiology Practitioners' Interpretations of Electrocardiograms: An Eye-Tracking Study
• An explainable algorithm for detecting drug-induced QT-prolongation at risk of torsades de pointes (TdP) regardless of heart rate and T-wave morphology
• Pseudo-colouring an ECG enables lay people to detect QT-interval prolongation regardless of heart rate
• Can laypeople identify a drug-induced QT interval prolongation? A psychophysical and eye-tracking experiment examining the ability of nonexperts to interpret an ECG
• Human-Machine Perception of Complex Signal Data
• An Eye-Tracking Based Machine Learning Model Towards the Prediction
• Evaluating the impact of pseudo-colour and coordinate system on the detection of medication-induced ECG changes