We are happy to announce that we’ve published a preprint on the contrasting attitudes of clinicians towards computerised interpretation of ECGs. The preprint is available here: https://arxiv.org/abs/2410.16879 We find that clinicians are positive about the future application of AI in clinical decision-making. Accuracy is a key factor of uptake and visualisations are preferred over current computerised… Read more: Preprint out now

We were invited to give a progress update on ECG-X as part of the Computer Graphics and Visual Computing Conference held on the 12th and 13th of September at City and St. Georges, London. The session involved all six projects funded by EPSRC’s “Enabling Human Centred Decision Making Through Data Visualisation” grant. The special session,… Read more: ECG-X at CGVC 2024

AI and machine learning technologies are changing how we study and interpret electrocardiograms (ECG). To ensure they are fit for purpose, it is important that their development is closely aligned with the priorities of those making clinical decisions and patients receiving care, from the earliest stages. At ICE 2024 we presented a study investigating clinicians’ attitudes towards… Read more: Clinicians’ attitudes to AI – presentation at ICE 2024

We are delighted that Alaa Alahmadi, who conceived and developed the fully explainable long QT syndrome detection algorithm has been named as one of MIT Technology Review’s Innovators under 35. Alaa’s work has its roots in the new field of Human-Like Computing (HLC) — using knowledge of human intelligence to advance machine intelligence, and has received numerous… Read more: Alaa Alahmadi named as an ‘Innovator under 35′

We are pleased to announce that our abstract entitled “Attitudes of clinicians to a ‘human-like’ explainable AI based on pseudo-colouring of ECGs that exposes life-threatening anomalies” has been accepted at the 49th International Congress of Electrocardiology (ICE 2024) which will be held between the 12th and 14th of June in Lund, Sweden. We will present our extensive stakeholder and RRI… Read more: Abstract accepted at 49th International Congress of Electrocardiology

On 28th March 2024 we were invited to present a keynote on our recent ECG-X work at the Hong Kong AI and Robotics Forum for Healthcare. This was the inaugural meeting of the China’s new national institute for AI, the Centre for Artificial Intelligence and Robotics (CAIR), led by the Institute of Automation, Chinese Academy of… Read more: Hong Kong AI and Robotics Forum