Next generation of AI in cardiology: Smart theatres and beyond

The event will comprise of a number of talks that will showcase scientific research involving the use of artificial intelligence in cardiology.

The event will comprise of a number of talks that will showcase scientific research involving the use of artificial intelligence in cardiology. This will include algorithmic decision making, computerised decision support, deep learning, computer vision in surgery, automated assessment of procedures, AI-based ECG interpretation for STEMI and AF, primary PCI analysis, biomarker discovery and many more talks. Amongst presenters there will be a mix of scientific researchers, clinicians and industry. Keynotes by Prof. Danail Stoyanov (UCL) and Prof. Tony Gallagher (ORSI) have already been confirmed amongst a series of other talks demonstrating the ‘AI in cardiology’ research at Ulster University. The event is organised by the School of Computing and the School of Engineering.

Contacts are Dr Raymond Bond (rb.bond@ulster.ac.uk) and Prof. Dewar Finlay (d.finlay@ulster.ac.uk).

This work/event was supported by HSC R&D Division, Public Health Agency [DIS/5488/18 & DIS/5489/18].

This event is also funded by the EPSRC Image Guided Therapies UK Network+ (EP/N027078/1) and is part of a funded EPSRC project on surgical data science and smart theatres, led by Ulster University.

Example Programme (changes are likely):

10.00 - Coffee

10.25 - Introduction, Dr Raymond Bond, Ulster University

10.30 - Keynote: Prof. Danail Stoyanov, University College London, Artificial Intelligence in Surgery

Chair: Prof. Dewar Finlay

11.15 - Dr Rob Brisk, Craigavon Area Hospital, Deep Learning and the ECG

11.30 - Dr Alan Kennedy, Phillips, Artificial Intelligence for the Detection of Atrial Fibrillation

11.45 - Dr Lorenzo Trojan, Axial3D, Overcoming Bottlenecks to 3D Printing Adoption in Cardiology using AI

12.00 - Prof. Aaron Peace, Altnagelvin Hospital, Challenges in Primary PCI

12.15 - Questions

12.30 - Lunch

13.15 - Keynote: Prof. Tony Gallagher, ORSI, Smart Theatres Must Quality Assure, Augment and where Reasonable Supplant Operators Performance

Chair: Dr Pardis Biglarbeigi, Ulster University

14.00 - Dr Pardis Biglarbeigi, Ulster University, Machine Learning Algorithms in Automatic Detection of Biomedical Abnormalities – Sleep Arousals and Sepsis

14.15 - Dr Victoria McGilligan, Ulster University, Towards Cardiac Biomarker Discovery using Machine Learning

14.30 - Dr Jun Liu, Ulster University, Reliable Decision Support

14.45 - Aleeha Iftikhar, Ulster University, Time Series Analysis of PPCI Referral Data

15.00 - Khaled Rjoob, Ulster University, Deep Learning for Detecting Lead Misplacement

15.15 - Prof. James McLaughlin, Ulster University, IoT and Sensors for Connected Health

15.30 - Coffee and discussions