Meet the Fellows in Clinical Artificial IntelligenceTopic: Fellowships in Clinical AI
We are proud to launch the world’s first Fellowships in Clinical Artificial Intelligence!
This unique programme will train a generation of NHS leaders to deliver the transformational power of Artificial Intelligence in healthcare.
About the fellows
Our fellows are smart and energetic individuals who will lead the charge to revolutionise the NHS with clinical AI.
Fellows were recruited competitively from all medical specialties in the training regions attached to the London AI Centre’s partner NHS Trusts.
See below for details of our fellows and their thoughts about embarking on this fellowship.
Fellows in Clinical AI
This fellowship is an amazing opportunity for clinicians to gain skills in AI. Simply put by Professor Sir John Bell: "AI could save the NHS". I hope to gain understanding of AI in healthcare and apply it in practice, specifically in modernising clinical trials and extracting information from the vast NHS databases. Following the fellowship, I’d like to develop and integrate improved AI-driven systems to interpret cardiac imaging.
ST7 Trauma and Orthopaedics
I aim to harness the power of AI in improving patient outcomes via early diagnosis, treatment, stratification, and optimisation of post treatment care. I look forward to being a future leader in the roll out of AI across the UK to provide higher-quality, faster, more cost-effective patient care nationwide. I feel blessed and honoured to work and learn from world leaders and extremely clever people at the AI Centre.
Anaesthesia is the largest hospital-based specialty, and there will be tremendous value for the NHS in equipping anaesthetists like myself with AI expertise. This fellowship in clinical AI offers an integrated training pathway to knowledge and expertise that will be essential for my ideal Consultant role: delivering world-class care whilst building AI-augmented services that improve patient care and reduce staff workload.
ST8 General Surgery with Oncoplastic Breast subspeciality
Not only am I an avid advocate for value-based healthcare, I also believe in prioritising patient-centred outcome measures through the development of Machine Learning models, which are valuable in supporting shared decision-making. I am proud to be able to leverage my clinical, academic and policy experience by taking innovative approaches to transform healthcare.
ST5 Emergency Medicine
I am very much looking forward to joining this programme. This Fellowship will allow me to learn about AI in a live clinical setting, understand the hurdles and possibilities of this bleeding edge technology. I see this opportunity as a stepping stone towards understanding the technology further and how it may be utilised to streamline the clinical workflow within Emergency Departments and benefit the critically ill.
ST6 Infectious Diseases and General Internal Medicine
I am interested in global health, equity and digital health. I have worked at NHS Digital, where I was clinical lead on projects such as COVID-19 Risk Stratification, Shielding, and Oximetry @home. These projects have made me realise the potential for digital health, to improve patients’ lives as well as supporting clinicians. I hope this fellowship will build on these experiences to improve patient and staff experience.
ST4 Clinical Radiology
I am very excited about this new opportunity to develop skills in Clinical AI and utilise my previous background in Computer Science. As a Clinical Radiology SpR expertise in this area will be very relevant to my ongoing clinical practice, with the usage of AI applications within diagnostic imaging workflows being inevitable, and I also hope to develop the skills to advise and lead on AI projects in the future.
ST5 Plastic Surgery
I am excited to be part of this ground-breaking and dynamic artificial intelligence fellowship. The programme will allow me to be at the forefront of AI integration within the NHS, which will form a key part of healthcare delivery and research in the future. I believe AI will offer unique opportunities within surgery to improve the management and outcomes of our patients and I look forward to exploring how this can be achieved as an AI fellow.
ST5 Clinical Pharmacology and General Internal Medicine
I’m thrilled to become a fellow in Clinical Artificial Intelligence with the London AI Centre and Health Education England. AI has the potential to revolutionise how we work and deliver huge benefits to patient care. Like anything new in medicine, it’s vital to make sure it’s safe and effective. As a fellow, I want to help translate the promises of AI into tangible benefits for patients and help bring AI innovations into routine clinical practice.
ST5 Medical Oncology
As the first of its kind, this fellowship is an exciting opportunity to experience and contribute to the adoption of AI in the NHS. Be it through original research, clinical trials, deployment, evaluation or something else, I intend to use the skills and experience I acquire in this fellowship to continue in the clinical AI domain and ensure continuing evolution for benefit of patients and our healthcare service.
I am developing a clinical AI decision support system which enhances the acquisition of cardiac MRI. Translating AI science into practice is challenging; this Fellowship will give me a transferable skillset for deploying and implementing such projects. Looking ahead, I’d like to take on a hybrid cardiologist-data scientist role in the NHS and assist in delivering the AI Roadmap.
About the fellowship programme
Clinicians with expertise in Artificial Intelligence are essential to the rollout of AI software in hospitals. The NHS will not be able to fully realise the UK government's goal of being a global AI superpower without dedicated training for clinicians in cutting-edge skills required for clinical AI deployment (as recommended in the Topol Review).
To date there has been no formal or systematic route to acquire skills in clinical AI deployment.
This fellowship addresses this training need. It is a year-long programme (Cohort 1: June 2022-June 2023) which is integrated part-time alongside the medical training of doctors approaching consultancy. Fellows undertake immersive AI projects in live hospital workflows, supervised by world experts in clinical AI.
Fellows will gain further skills and knowledge from a programme of teaching aligned with the Clinical AI Curriculum developed by the London AI Centre.
This ground-breaking fellowship was created by the London AI Centre and Health Education England. We are pleased to confirm that an independent educational evaluation has been commissioned from the Health Innovation Network for this inaugural cohort.
Recruitment for the next cohort of these fellowships will begin in late 2022.
The closed recruitment page for this first cohort can be found here.
Updates and announcements will be posted here, and on the AI4VBH Twitter feed.