Dr Dominic Pimenta March Seminar Series
March 10, 2026
We are pleased to announce that Dr Dominic Pimenta, Chief Executive Officer at Tortus AI, will deliver his talk “Evaluating clinical AI in real-world deployments to drive national adoption"
as part of our Seminar Series.
Abstract: TORTUS has been at the forefront of the delivery of AVT in trials across London and creating the data to implement in the ten-year plan, as well as publishing the LLM clinical ontology framework in Nature Digital Medicine. As we move from proving the use case today to developing the AI systems of tomorrow, the session will talk about the state of the art in AI evaluation in healthcare.
Seminar Series Event: “Evaluating clinical AI in real-world deployments to drive national adoption"
Date and Time:
Thursday 26 March February 2026, 15:00 – 16.00 hrs (GMT)
Location: G3, Guy's New Hunts House, Guy's Campus
Attendance:
Mandatory for all DRIVE-Health students; a calendar invitation has already been sent.
Registration:
Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk
to let us know if you would like to attend.
Biography
Dr Dom Pimenta, CEO of Tortus AI, graduated with triple distinction from UCL MBBS in 2012. After practicing for ten years in the NHS as a cardiologist, Dr Pimenta became a pharmaceutical physician via a stint in COVID ICU. During this time, Dr Pimenta ran large-scale digital health trials and published in the field of applied AI in healthcare. Dr Pimenta became frustrated by the increasing power of clinical AI models in academia, but the paucity of application in the real world. Deciding to make this his career mission, Dr Pimenta was accepted to Europe's best accelerator programme, Entrepreneur First, and met his co-founder Christopher Tan, an up-and-coming machine learning scientist. Together, they founded TORTUS, building the world's first AI agent for healthcare, a true co-pilot that can not only take over all software tasks from physicians, but use other forms of AI as well. Their vision is to bring clinical AI tools into the hands of every physician, using any software system, anywhere. Dr Pimenta was previously the founding CEO and later chair of The Healthcare Workers' Foundation, a charity that raised £3.2m to support healthcare workers during the 2020 COVID pandemic. Dr Pimenta has received multiple awards for his work, including the Young Investigator Award at the European Society of Preventative Cardiology and the Royal Academy of Engineers President's Award for Services to the Pandemic.
When not founding companies and charities, Dr Pimenta is a very busy husband and father of three, as well as the owner of a particularly famous cat.
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We are looking forward to welcoming Professor Honghan Wu, Professor of Health Informatics and AI at the University of Glasgow, who will deliver his talk “Large language model and Radiology: how to facilitate human and AI collaboration? " as part of our Seminar Series. Abstract: In this upcoming talk, Professor Honghan Wu explores the essential shift from viewing AI as a potential replacement for radiologists to recognizing it as a critical collaborative partner. Moving beyond basic tasks like detection and triage, the presentation highlights how AI can address practical clinical "pain points," such as reducing automated protocoling time by up to 60% and decreasing the time spent communicating with providers and patients by 30%. Professor Wu will present recent research on using knowledge-retrieval and Large Language Models for clinical report error correction and generation. The session concludes with an examination of the real-world deployment lifecycle, discussing the challenges of monitoring the over 700 FDA-cleared radiology AI devices currently in practice Seminar Series Event : “Large language model and Radiology: how to facilitate human and AI collaboration?" Date and Time: Thursday 25 November 2026, 15:00 – 16.00 hrs (GMT) Location: Venue to be confirmed. Attendance: Mandatory for all DRIVE-Health students; a calendar invitation has already been sent. Registration: Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend. Biography Honghan Wu is a Professor of Health Informatics and AI, based in the School of Health and Wellbeing of the University of Glasgow, where he leads the research theme of data science and AI. Prof Wu is a co-director of Health Data Research Scotland. He also is an honorary professor at Hong Kong University, an honorary associate professor at Institute of Health Informatics, UCL, and a former Turing Fellow of The Alan Turing Institute, UK's national institute for data science and artificial intelligence. Prof Wu holds a PhD in Computing Science. His current research focuses on machine learning, natural language processing, knowledge graph and their applications in medicine.
We are looking forward to welcoming Dr. Bettina Moltrecht and Thomas Wood to introduce Harmony Meta , a groundbreaking platform developed over the past year to bridge the gap between disparate study catalogues and registers. While traditional data discovery relies on exact keyword matching, Harmony Meta utilizes Large Language Models and vector indexing to allow for semantic searching across 5.5 million variables . Abstract: This session will demonstrate how researchers can now locate longitudinal data using approximate synonyms—for instance, a search for "dyslexia" will successfully retrieve variables related to "difficulty reading." The platform indexes nearly every major longitudinal study ever conducted in the UK, including the Millennium Cohort Study , the 1970 British Cohort Study , and Born in Bradford . The presenters will discuss the technical backend of converting millions of variables into vectors and the practical implications for harmonizing data across different cohorts to identify population mental health trends. Try the Tool: https://harmonydata.ac.uk/search Seminar Series Event : " Harmony Meta: Using AI to Unlock 5.5 Million Variables in UK Longitudinal Studies" Date and Time: Thursday 24 September 2026, 15:00 – 16.00 (BST) Location: Venue to be confirmed. Attendance: Mandatory for all DRIVE-Health students; a calendar invitation has already been sent. Registration: Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend. Biographies Dr. Bettina Moltrecht Dr. Bettina Moltrecht is a mental health researcher based at University College London (UCL) and Anna Freud a UK-based mental health charity for children and families. Bettina combines a clinical, tech and research background, and has been co-leading the Harmony project with the aim to enhance population mental health research. Bettina is co-founder of UCL's Digital Mental Health Hub, and is co-investigator on various clinical trials to evaluate mental health interventions in the NHS. Thomas Wood Thomas Wood is the founder of Fast Data Science and the lead developer for the Harmony Meta backend. He holds a Master’s in Physics from Durham University and a Master’s in Computer Speech, Text and Internet Technology from the University of Cambridge. With over a decade of experience in machine learning and NLP, Thomas has consulted for the NHS, Tesco, and Boehringer Ingelheim. He also works as an expert witness and is working on NLP solutions for clinical trials, and generative AI solutions for legal question answering. Note on Funding and Partners: Harmony Meta was funded by the ESRC and developed in collaboration with Population Research UK (PRUK), the UCL Centre for Longitudinal Studies, DATAMIND UK, The Alan Turing Institute, and UK Research and Innovation.
