Take a fascinating journey through real-world case studies that illustrate the progress and potential of AI in clinical imaging and diagnostics within the NHS. This session will delve into specific applications where AI has proven instrumental in enhancing accuracy, efficiency, and outcomes. From detecting anomalies in radiology to providing earlier diagnoses, learn from practical examples how this technology is shaping the future of healthcare. Hear insights from industry experts on the lessons learned, challenges faced, and the path forward for continued innovation in clinical practice. A valuable session for anyone interested in the tangible impacts of AI in health and care.
Supported by:
Dr Amrita Kumar
Consultant Radiologist & Clinical Lead AI, Frimley Health NHS FT
Amrita has been recently named 2022 Top 50 Innovator & Top 50 Influential Woman in the UK for leading innovation in the use of AI within the NHS.
She was appointed as a substantive Consultant Radiologist at Frimley Health in 2013 with a subspecialist interest in breast cancer screening. She went on to become Chair of the AI Working Group at Frimley Health in 2019 and was responsible for setting up AI implementation framework for safe & effective deployment of AI in clinical pathways, including governance and stakeholder groups.
- – Looked at lung cancer and breast cancer AI enabled pathways to improve efficiency & productivity while maintaining human in the loop.
- – In the process of developing AI evaluation framework.
Ultimately, her aim is to have a positive social impact on patient outcomes within the NHS integrated with AI, working in conjunction with various stakeholders with a mission statement of patient and value-focused healthcare.
She has also been appointed Chair at the British Institute of Radiology AI & Innovation Committee to provide strategic multidisciplinary support and address challenges in AI deployment. She has co-developed an AI educational series for all healthcare workers to ensure buy in and build trust. This series has been funded by Health Education England and made available for free to all healthcare workers to aid in understanding basic AI principles & how it relates to healthcare.
Dr Kiruba Nagaratnam
Clinical Lead for Stroke Medicine, Royal Berkshire NHS FT
Dr Kiruba Nagaratnam is a consultant stroke physician and clinical lead for stroke medicine at the Royal Berkshire NHS Foundation Trust, Reading, UK. He is also the acute clinical lead for the Buckinghamshire, Oxfordshire and Berkshire West Integrated Stroke Delivery Network. He is experienced in leading successful implementation of artificial intelligence across stroke networks.
Dr Mathieu Bottier
Thoracic Research Associate, Royal Brompton and Harefield hospitals
Dr Mathieu Bottier is a Research Associate at the Royal Brompton Hospital & Imperial College London. His research primarily focuses on airway cilia and the development of new diagnostic protocols to diagnose Primary Ciliary Dyskinesia. He is currently developing an Artificial Intelligence (computer vision) platform to detect ciliary defects.
Chair: Dr Matthew Lee
Internal Medicine Doctor, University College London Hospitals NHS FT
Dr. Matthew Lee is an internal medicine doctor at UCLH with an academic background in 3D printing and AI. He has worked in the Transformation Directorate of NHS England, overseeing education and training in digital clinical safety as well as the AI Deployment Platform. He is the co-founder of M3dicube, an organisation that teaches 3D printing to medical professionals in the UK, as well an NHS Clinical Entrepreneur and ’35 Under 35’ future digital leader.
