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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Bridging Academia and Industry: Turning Health Data into Health Solutions Please join us for the EPSRC DRIVE‑Health CDT Summer Symposium & Partner Showcase 2026 , a two‑day event dedicated to bridging academia and industry and accelerating the journey from health data research to real‑world solutions. This year’s theme, “Bridging Academia and Industry: Turning Health Data into Health Solutions", brings together our vibrant community of students, King’s academics, industry partners, clinicians and policymakers to explore how collaboration can unlock new insights, innovation and impact across health and care. Event details 📅 11 & 12 June 2026 📍 Science Gallery London, Guy’s Campus, King’s College London, Great Maze Pond, London SE1 9GU Timings: ⏰ 10:00–16:00 each day ☕ Refreshments available from 09:30 👉 Please be seated by 09:50 for a prompt 10:00 start Please secure your place here: Register Now Programme highlights KEYNOTE ✨ Dr Luis Garcia‑Gancedo , Executive Director & Head of Digital Medicine – Respiratory, Immunology & Inflammation, GSK INTERACTIVE DEBATE ✨ Student‑led interactive debate exploring AI within the context of the event theme: “Bridging Academia and Industry: Turning Health Data into Health Solutions.” PANEL DISCUSSION & POSTER JUDGING ✨ “What does industry actually need from health data PhDs - and how can industry partner with academia for maximum impact?” Panelists confirmed so far: Dr Laura Acqualagna , Director of AI/ML Engineering, GSK R&D Dr Chris Callaghan , Consultant Transplant Surgeon, Guy’s Hospital Dr Nina Sesto , CEO & Co‑Founder, MEGI Health Dr Srinivasan Vairavan , Director of Data Science & Digital Health, JNJ Innovative Medicine R&D, and Visiting Adjunct Faculty, King’s College London Dr Nicolas Huber , Director, King’s Innovation Catalyst PLUS ✨ Student lightning talks (across both days) ✨ 3‑minute Student Spotlight Slides (across both days) ✨ Poster showcase & networking session (Friday) ✨ Prizes for outstanding contributions (Friday) Please secure your place here: Register Now If you are no longer able to attend the event, please email drive-health-cdt@kcl.ac.uk so that we can reallocate to our waiting list.

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 June 2026, 15:00 – 16.00 hrs (BST) Location: Large Committee Room, Hodgkin Building, 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 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.



