Meet the Fellows in Clinical Artificial Intelligence

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.

Dr Amit Samani
⁠⁠⁠Cohort 1
⁠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.

Dr Kavitha Vimalesvaran
⁠⁠⁠Cohort 1
⁠ST6 Cardilology

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.