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HomeConferencesClinical RadiologyHuman + machine: clinician-led AI for tomorrow's healthcare - 2nd Annual Global AI Conference 2026
Clinical Radiology · Annual Conference

Human + machine: clinician-led AI for tomorrow's healthcare - 2nd Annual Global AI Conference 2026

Organised by the The Royal College of Radiologists
Dates29–30 Jun 2026
VenueQueen Elizabeth II Centre
CityLondon, United Kingdom
FormatIn-person + Hybrid
CPD Points50 CPD
Two-day Royal College of Radiologists Global AI Conference in London and online, covering safe and practical implementation of AI in healthcare with abstracts, posters, keynote speakers, CPD credits and hybrid access.
Reviewed byDr Robert BaxterDr Robert Baxter· Junior Clinical Fellow, Acute Medical Unit· Updated 8 Jun 2026
MedicMess Conference Intelligence
Audience
Radiologists, clinical oncologists, resident doctors, GP registrars, NHS managers, allied healthcare professionals, AI researchers, regulators, industry and clinicians from other specialties interested in healthcare AI.
Cpd Note
Homepage says delegates can earn over 50 CPD credits through sessions, industry symposia, abstract showcases and fringe events; abstract lead authors receive 3 CPD credits and co-authors 1 CPD credit.
Networking
Two-day in-person programme includes exhibition, poster viewing, refreshment breaks, lunch, industry symposia and networking with global clinical, policy and industry AI speakers.
Pricing Note
Registration page exposed ticket labels without personal-data submission. Late rates include consultant/NHS management two-day in-person £565 with standard £515; resident doctor/GP registrar/other healthcare professional two-day in-person £450 with standard £410; one-day resident in-person late £295 with standard £270. Registration closes 10:00 GMT on 30 June 2026.
Research Value
High: accepted abstracts are shown as physical posters and e-posters, published in RCR Open online journal, featured on SciGens, and lead authors receive 3 CPD credits.
Trainee Relevance
Resident doctors, GP registrars, SHOs, medical students and other healthcare professionals have a dedicated ticket category; programme content includes AI tools in radiology training and exam preparation.
Why This Conference Matters
Audience
Radiologists, clinical oncologists, resident doctors, GP registrars, NHS managers, allied healthcare professionals, AI researchers, regulators, industry and clinicians from other specialties interested in healthcare AI.
Cpd Note
Homepage says delegates can earn over 50 CPD credits through sessions, industry symposia, abstract showcases and fringe events; abstract lead authors receive 3 CPD credits and co-authors 1 CPD credit.
Networking
Two-day in-person programme includes exhibition, poster viewing, refreshment breaks, lunch, industry symposia and networking with global clinical, policy and industry AI speakers.
Pricing Note
Registration page exposed ticket labels without personal-data submission. Late rates include consultant/NHS management two-day in-person £565 with standard £515; resident doctor/GP registrar/other healthcare professional two-day in-person £450 with standard £410; one-day resident in-person late £295 with standard £270. Registration closes 10:00 GMT on 30 June 2026.
Research Value
High: accepted abstracts are shown as physical posters and e-posters, published in RCR Open online journal, featured on SciGens, and lead authors receive 3 CPD credits.
Trainee Relevance
Resident doctors, GP registrars, SHOs, medical students and other healthcare professionals have a dedicated ticket category; programme content includes AI tools in radiology training and exam preparation.
Programme Highlights
09:00
Welcome / keynote
Opening day and keynote contentkeynote
Professor Curtis Langlotz
Stream
AI education and research
Stream
Future-ready AI
Stream
Clinical implementation
Networking
Exhibition, posters and industry symposia
Keynote Speakers
Keynote
DP
Dr Penny Dash
NHS England, UK
Keynote speaker
Keynote
PA
Professor Alastair Denniston
University of Birmingham, UK
Moving fast and not breaking things: the future of regulating AI in healthcare
Keynote
PC
Professor Curtis Langlotz
Stanford University, USA
Keynote speaker
Keynote
DS
Dr Stephen Harden
The Royal College of Radiologists, UK
Closing keynote lecture / RCR President
PO
Professor Owen Arthurs
UCL GOS Institute of Child Health and Great Ormond Street Hospital for Children NHS Trust, UK
AI Conference Committee Chair
Abstract Submission Guide
Abstract submissions are closed
Deadline: 26 March 2026
AI education and research
Transforming practice and leadership
Risk management and compliance
AI vigilance
General/other
AI implementation
Clinical AI governance
Healthcare AI ethics

MedicMess Tips

  • Register by 23:59 BST on 8 June 2026 to avoid late rates.
  • Final registration closes at 10:00 GMT on Tuesday 30 June 2026.
  • Accepted poster presenters must secure an in-person conference place by 23:59 BST on 15 May 2026.
  • Use the resident doctor / GP registrar / other healthcare professional ticket category if eligible.
  • Plan Westminster travel early; on-site parking is not available and Blue Badge spaces require advance contact with the QEII Centre.
Cost & Registration
CategoryPrice
Early bird registration£515
Standard registration£565
Trainee / IMT£450
Medical student£450
Key Deadlines
26 Mar 2026
Abstract submission deadline
30 Jun 2026
Registration deadline
29 Jun 2026
Conference begins
Practical Information
ParkingOn-site parking is not available; Q-Park Westminster is listed as the nearest car park, about seven minutes away. Blue Badge parking is subject to availability by contacting the QEII Centre.
By TrainThe venue page says the QEII Centre is within about five minutes of major transport links; nearby tube options include St James's Park and Westminster.
AccessibilityThe venue page links accessibility and delegate FAQ information for attendees.
AccommodationFirst Choice delegate hotel search is linked for nearby hotels; RCR is not offering accommodation as part of registration.
Online AccessSessions are livestreamed globally via the online platform; recordings are available on demand for 30 days for the registered days.
Venue DetailsThe Queen Elizabeth II Centre, Broad Sanctuary, Westminster, London SW1P 3EE.
Conference Snapshot
SpecialtyClinical Radiology
Organising societyThe Royal College of Radiologists
CPD accreditation50 CPD points
Conference formatIn-person + Hybrid
LocationQueen Elizabeth II Centre, London
The Complete Guide to the Human + machine: clinician-led AI for tomorrow's healthcare - 2nd Annual Global AI Conference 2026

The 2nd Annual Global AI Conference 2026 is an RCR-organised hybrid meeting at the Queen Elizabeth II Centre, Westminster, on 29-30 June 2026, with online attendance through the conference platform. The theme is safe and practical implementation of healthcare AI. The programme is built around five streams: AI education and research, future-ready AI, AI vigilance and regulation, clinical implementation, and industry symposia / practice sessions. The site lists keynote speakers including Dr Penny Dash, Professor Alastair Denniston, Professor Curtis Langlotz and Dr Stephen Harden, plus a large international faculty from radiology, oncology, regulation, industry and health policy. Abstract submissions are now closed; late-breaking abstracts had to be submitted by 23:59 GMT on 26 March 2026. Accepted work is displayed as posters in the exhibition hall and as electronic posters for virtual delegates. Accepted abstracts are published in the RCR Open online journal and featured on the SciGens website. Lead authors receive 3 CPD credits and co-authors 1 CPD credit; the conference page describes more than 50 CPD credits available through sessions and activities. Registration remains open until 10:00 GMT on 30 June 2026. Two-day in-person consultant / NHS management late rate is £565, with the standard rate shown as £515 until 8 June; resident doctor / GP registrar / other healthcare professional late rate is £450, standard £410. The venue page gives Westminster tube and rail access, limited parking and nearby accommodation guidance.