Fellowship in Clinical Artificial Intelligence

Dr Nikunj Davda
⁠⁠Cohort 2
⁠ST5 Neurology

"Bringing AI to frontline services in order to achieve real-world impact to patients is an inspiring endeavour I'm privileged to be a part of. I look forward to working with, and learning from, the talented and driven people helping to realise the potential AI holds for clinical and imaging neuroscience."

Dr Robert Dunk
⁠⁠Cohort 2
⁠ST4 Clinical Radiology

"I'm thrilled to collaborate with the London AI Centre on this exceptional fellowship, honing my skills in deploying and assessing AI solutions in a real clinical setting. As AI has the potential to revolutionise healthcare, I'm eager to play a role in its advancement."

Dr Maredudd Harris
⁠⁠Cohort 2
⁠ST2/3 Clinical Radiology

"Delivering the benefits of AI across the NHS is a vast but exciting challenge. By undertaking the Clinical AI Fellowship alongside clinical radiology training I hope to join the diverse team working to make this challenge a reality and improve patient care."

Dr Paulette Kumi
⁠⁠Cohort 2
⁠ST4 Clinical Radiology

"This exceptional opportunity to gain a working knowledge of AI and the clinical leadership required to navigate and harness the boundless potential of AI in healthcare, will serve as a springboard for me to fully integrate AI research into my work and equip me with the expertise to undertake multidisciplinary and international collaboration related to the integration of AI into healthcare delivery."

Dr Qasim Malik
⁠Cohort 2
⁠ST3 Paediatrics

"I am excited to join the AI4VBH fellowship to explore how artificial intelligence can shape healthcare, addressing issues that affect both patients and clinicians. I am keen to use the skills gained during this fellowship to promote the integration of artificial intelligence into clinical practice to benefit underserved communities."

Dr Annabelle Painter
⁠⁠Cohort 2
⁠ST2 General Practice

"As a clinical AI fellow at HEE and the NHS AI lab I explored the factors influencing healthcare workers' confidence in AI. I came to appreciate that an AI enabled NHS will require clinicians who understand and can critically appraise AI. I am joining the programme with an aim to develop this skillset."

Dr Ashiv Patel
⁠⁠Cohort 2
⁠ST3 General Practice

"I am very excited about becoming a fellow in Clinical Artificial Intelligence and using this opportunity to learn about AI in a live clinical setting. I believe AI will be a cornerstone of healthcare delivery in the future and that the skills I learn during this fellowship will allow me to become a leader in Clinical AI within Primary Care."

Dr William Pritchard
⁠⁠Cohort 2
⁠ST3 Emergency Medicine

"I believe my specialty of Emergency Medicine (EM) will benefit hugely from Artificial Intelligence, with particular interest in prognostication’s synergies with novel diagnostics. I look forward to expanding my experience of innovation development and implantation within the Fellowship in Clinical AI and bringing my learnings to future EM leadership."

Dr Rishi Ramessur
⁠⁠Cohort 2
⁠ST6 Ophthalmology

"I am excited to become part of a generation of leaders trained to deliver the transformational power of AI in healthcare. I hope to develop the skills necessary to deploy AI applications safely, inclusively and effectively to benefit patients and society for generations to come."

Dr Luis Ribeiro
⁠⁠Cohort 2
⁠ST3 Urology

"As AI tools become more widespread in healthcare, it's vital for clinicians to ensure their safety and efficacy. Through this program, I hope to learn how to leverage these tools to improve patient outcomes. I am excited to be part of a community of like-minded individuals who share a passion for enhancing healthcare delivery through innovative technologies."

Dr Caolan Roberson
⁠⁠Cohort 2
⁠ST5 Paediatrics and Child Health

"As a paediatric trainee I am witnessing artificial intelligence tools come into practice and assist in us delivering great care. I am thrilled to be given the opportunity to develop my own skills through the Fellowship in Clinical Artificial Intelligence and help drive the NHS into the future."

Dr Ruchir Shah
⁠⁠Cohort 2
⁠ST3 Clinical Radiology

"I am excited to start this fellowship and join a community of clinicians looking to learn more about AI within healthcare. With this fellowship I aim to be better informed and able to understand how to safely implement and evaluate potential AI solutions within my speciality of Clinical Radiology."

Dr Andrew Soltan
⁠⁠Cohort 2
⁠ST4 Cardiology

"I am delighted to be awarded this Fellowship, supporting our programme of health-AI tools to improve diagnostic testing using clinical data already routinely collected. Supported by a 'translational-push' through this Fellowship, we aim to improve the experience for patients requiring acute care and enable next-generation tools through new federated approaches."

Dr Taha Soomro
⁠⁠Cohort 2
⁠ST4 Ophthalmology

"I have joined this program to learn about how we can implement AI practically in the NHS. I hope to develop skills in leveraging this technology, to deliver a transformational change in healthcare, to improve diagnosis and treatment of ophthalmic diseases."

Dr Sonam Vadera
⁠⁠Cohort 2
⁠ST4 Clinical Radiology

"I am excited to be part of this cutting-edge fellowship that will enable me to gain relevant expertise in implementing AI-augmented services into a live clinical setting. In the future, I am determined to lead the implementation of AI-driven projects into the radiology workflow to provide higher quality patient care."

Dr Yash Verma
⁠⁠Cohort 2
⁠ST5 Plastic Surgery

"I am excited to join the team and look forward to acquiring the necessary skills to be at the forefront of delivering the transformational power of clinical AI to healthcare within the NHS."

Dr Sarah Blake
⁠Cohort 1
⁠ST5 Cardiology

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.

Dr Salah Hammouche
⁠⁠Cohort 1
⁠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.

Dr Adam Julius
⁠⁠Cohort 1
⁠ST3 Anaesthetics

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.

Dr Mustafa Khanbhai
⁠⁠Cohort 1
⁠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.

Dr James Lai
⁠⁠Cohort 1
⁠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.

Dr Akish Luintel
⁠⁠Cohort 1
⁠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.

Dr Adam Mayers
⁠⁠⁠Cohort 1
⁠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.

Dr Rob Miller
⁠⁠⁠Cohort 1
⁠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.

Dr Jack Ross
⁠⁠⁠Cohort 1
⁠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.