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Stream 4, Session 6: Abstract showcase

Time

Session details

14:15

Welcome and introductions
Dr Fiona Gilbert and Dr Gerald Lip

14:20

Personalising education for radiologists using AI:  a breast imaging case study
Dr Ziba Gandomkar

14:30

Enhancing Reporting Efficiency and Accuracy for Degenerative Cervical Spine MRI with Deep Learning
Dr. Matthew Chan

14:40

CT Deep learning AI model quantified percentage of fibrosis predicts prognosis in Pulmonary Hypertension associated with Chronic Obstructive Pulmonary Disease
Dr Krit Dwivedi

14:50

Does AI-Assisted Chest X-ray Interpretation Influence Clinical Management of Frontline Clinicians?
Dr Ruchir Shah

15:00

The Impact of Artificial Intelligence on the Detection of Incidental and Symptomatic Pulmonary Emboli: A Review of 11,000 CT studies.
Dr Fergus O'Herlihy

15:10

Evaluation of Brainomix e-CTA Software in the Diagnosis of Large Vessel Occlusion Stroke
Dr Alexander Tan

15:20

“How I would like AI used for paediatric imaging” – parent and carers’ perspective
Dr Girja Agarwal

15:30

R-AI-diographers: exploring the changing professional role and identity of radiographers in Europe in the era of artificial intelligence
Mrs Gemma Walsh

15:40

Prize Giving and closing remarks 
Dr Fiona Gilbert and Dr Gerald Lip

Programme subject to change

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Speakers

Professor Fiona Gilbert

Lead AI Advisor
The Royal College of Radiologists and Department of Radiology, University of Cambridge, UK
Professor Fiona Gilbert
  • Professor Fiona Gilbert

    Read more - Stream 3, Session 6 Chair: Data security

    Professor Gilbert, Department of Radiology, University of Cambridge, is focused on imaging techniques relating to breast cancer and oncology. She works in Addenbrookes Hospital and is part of the Cambridge Breast Unit which delivers screening to Cambridge and Huntingdon. She evaluates new imaging technology and is currently working on Artificial Intelligence in Imaging to detect cancer, biomarkers to predict cancer and response to neoadjuvant therapy, novel imaging techniques such as sodium imaging with MRI and assessing different imaging tools to detect cancer in women with dense breasts. 

    Fiona is a regular speaker at international radiology conferences in Chicago and Vienna and was awarded Honorary membership of the Radiological Society of North America in 2019, Honorary fellowship of the American College of Radiologists, the Gold Medal from the European Society of Radiology and fellowship of the Royal Society of Edinburgh in 2021 and fellowship of the Academy of Medical Sciences. She is immediate past President of the European Society of Breast Imaging. She is the Lead advisor for AI for the Royal College of Radiologists. 

    She has sat on a number of committees and funding Boards and is on a number of advisory panels. She is a director of NASCIT. Previous appointments have been a Board member of the Royal Scottish National Orchestra, Governor of Robert Gordons College and vice chairman of the Beatson cancer charity. 

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Dr Gerald Lip

Clinical Director
North East of Scotland, Breast Screening Programme, UK
Dr Gerald Lip
  • Dr Gerald Lip

    Dr Gerald Lip is the Clinical Director of Breast Screening in the North East of Scotland and the Lead of the Gemini study supported by the NHS Health and Social Care Award investigating the prospective use of AI in mammography.

    He has published multiple papers, articles and chapters particularly on AI and has spoken at a range of medical and technology related conferences ranging from RSNA in Chicago to Cog X in London along with organising medical conferences such as the BIR AI annual congress for the past 5 years. He has been awarded a funded two-year Innovation Fellowship by the Chief Scientists of Scotland from 2023-2025.

    He is the vice chair of the British Society of Breast Radiology, sits on the Royal College of Radiology Informatics committee, on the Advisory Board of the Centre for Doctoral Training for Biomedical AI in Edinburgh University, the British Institute of Radiology AI special interest group and is a scientific advised to the National Covid Chest Imaging Database.

    A graduate of Trinity College Medicine, along with his medical degree he also qualified with an Msc. in Health Informatics and completed his radiology training in Aberdeen where is also an honorary senior clinical lecturer in the University of Aberdeen.

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