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.
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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 (firstname.lastname@example.org) and Prof. Dewar Finlay (email@example.com).
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.
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