Honorary Clinical Senior Lecturer
- About
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- Email Address
- geraldlip@abdn.ac.uk
- School/Department
- School of Medicine, Medical Sciences and Nutrition
Biography
Dr Gerald Lip is the Clinical Director for breast screening in the North East of Scotland and the Principal Investigator of the GEMINI prospective evaluation of mammography artificial intelligence supported by the NHS National Strategy for AI in Health and Social Care. He has recently completed a 4-year retrospective research project in the same topic with the Industrial Centre for Artificial Intelligence and Digital Diagnostics in Scotland.
Dr Lip has recently been awarded a two-year Innovation Fellowship by the Chief Scientists Office of Scotland to lead innovation adoption in the NHS. Dr Lip is the vice chair of the British Society of Breast Radiology and sits on the UK Royal College of Radiology Informatics committee, on the Advisory Board of the Centre for Doctoral Training for Biomedical AI in Edinburgh University and is a scientific advisor to the National Covid Chest Imaging Database.
Dr Lip is active in research, education and training publishing on work with radiology trainees in AI, opinions on the member of the public and professional colleagues on AI and also sits on the British Institute of Radiology AI special interest group leading on education.
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. He is an honorary senior clinical lecturer in the University of Aberdeen. Dr Lip has published and spoken on topics nationally and internationally such as patient engagement, innovation in breast imaging techniques, quality assurance and safety and monitoring in AI
External Memberships
Innovation Fellow - Chief Scientist Office of Scotland
Vice Chair - British Society of Breast Radiology
AI Policy Adviser - Royal College of Radiologists
Incoming Chair - British Institute of Radiology Artificial Intelligence Special Interest Group
Chair - Breast Screening IT National Users Group
External Advisory Board - UKRI CDT Biomedical AI - University of Edinburgh
Trial Steering Committee - RADICAL AI - NHS Greater Glasgow and Clyde
Latest Publications
Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion
BJR Artificial Intelligence, vol. 1, no. 1, ubae009Contributions to Journals: ArticlesA stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide
BMC Health Services Research, vol. 24, no. 1, 569Contributions to Journals: ArticlesImpact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening
Radiology: Artificial Intelligence, vol. 5, no. 3, e220146Contributions to Journals: ArticlesArtificial intelligence in radiology: trainees want more
Clinical Radiology, vol. 78, no. 4, pp. e336-e341Contributions to Journals: ArticlesExploring the influence of rural residence on uptake of organized cancer screening: a systematic review of international literature
Cancer Epidemiology, vol. 74, 101995Contributions to Journals: Articles
- Research
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Research Overview
I work very closely with Professor Lesley Anderson and Professor Roger Staff in the practical applciation and effectiveness of Artificial Intelligence in Healthcare.
I also have involvement with the MRI Fast Field Cycling project and the Low Field MRI Group in further advancing the science in this important branch of Radiology
- Publications
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Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion
BJR Artificial Intelligence, vol. 1, no. 1, ubae009Contributions to Journals: ArticlesA stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide
BMC Health Services Research, vol. 24, no. 1, 569Contributions to Journals: ArticlesImpact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening
Radiology: Artificial Intelligence, vol. 5, no. 3, e220146Contributions to Journals: ArticlesArtificial intelligence in radiology: trainees want more
Clinical Radiology, vol. 78, no. 4, pp. e336-e341Contributions to Journals: ArticlesExploring the influence of rural residence on uptake of organized cancer screening: a systematic review of international literature
Cancer Epidemiology, vol. 74, 101995Contributions to Journals: ArticlesScreening participants’ attitudes to the introduction of artificial intelligence in breast screening
Journal of Medical Screening, vol. 28, no. 3, pp. 221-222Contributions to Journals: LettersImpalpable Breast Cancer and Service Delivery during the COVID-19 Pandemic: the Role of Radiofrequency Tag localization
Archives of Breast Cancer, vol. 8, no. 3, pp. 247-250Contributions to Journals: ArticlesiCAIRD – a Safe Haven model for NHS, Academia, and Industry partnership in AI.
Faculty of Clinical Informatics Annual Scientific MeetingContributions to Conferences: AbstractsCongenital absence of the deep inferior epigastric system: a case report
European Journal of Plastic Surgery, vol. 42, no. 2, pp. 197-200Contributions to Journals: Articles