AI at work: Practical adoption for histopathologists

4 February 2027; 9:00 - 16:45 GMT

The Royal College of Pathologists, 6 Alie Street, London E1 8QT

Event programme

Please note that this is a draft programme and is subject to change. 

Time Session
9:00 Registration and tea/coffee/pastries
9:30

Welcome

Professor Sarah Coupland

President, RCPath
9:40

Keynote address

Jeroen van der Laak (confirmed)

Professor in Computational Pathology and Principle Investigator, Department of Pathology, Radboud University Medical Center, The Netherlands; Guest Professor, Center for Medical Image Science and Visualization (CMIV), Sweden
10:10

Scene setting:

  • College activities – Professor Darren Treanor (confirmed)

Consultant Pathologist, Leeds Teaching Hospitals NHS Trust; Honorary Clinical Professor, University of Leeds; Director, National Pathology Imaging Co-operative (NPIC)

  • NICE – Representative from NICE (invited)
10:35 Coffee break, demo sessions and poster display
11:05

AI in prostate cancer

Professor Clare Verrill (confirmed)

Professor in Cellular Pathology and AI, Nuffield Department of Surgical Sciences, University of Oxford; Consultant in Cellular Pathology (Uropathology), Oxford University Hospitals NHS FT
11:30

Independent evaluation of AI in NPIC: the ENSURE-AI Project

Dr Clare McGenity (confirmed)

Digital Pathology Fellow, NPIC; Histopathology Registrar, Leeds Teaching Hospitals NHS Trust
11:55 Poster competition
12:20 Sponsor presentations
12:45 Lunch, networking, poster display and demo sessions
14:15

AI deployment and evaluation

Professor David Snead (confirmed)

Consultant Pathologist, University Hospitals Coventry and Warwickshire; Professor of Pathology Practice, University of Warwick
14:40

Deployment case studies, followed by Q&A

  • Dr Muhammad Aslam (confirmed)

Consultant Histopathologist, Betsi Cadwaladr University Health Board; Clinical Director, North Wales Diagnostic and Specialist Clinical Services

  • Dr Laszlo Igali (confirmed)

Vice President - Professional Practice, RCPath; Consultant Histopathologist (dermatopathology/gastrointestinal pathology) and Chief of Service, Norfolk and Norwich University Hospital

  • Dr David Bailey (confirmed)
Consultant Histopathologist and Clinical Lead for Cellular Pathology, Northwest Anglia NHS Foundation Trust
15:25 Coffee break, demo sessions and poster display
15:55

Facilitated Q&A with expert panel, chaired by Darren Treanor

  • MiRa Jacobs, (confirmed)

Head of Digital Health, MHRA

  • Professor Mike Osborn (confirmed)

National Specialty Adviser, NHSE; Consultant Histopathologist and Clinical Director, North West London Pathology at Imperial College Healthcare NHS Trust

  • Professor Clare Verrill (confirmed)
  • Representative from the National Commission on the Regulation of AI in Healthcare (invited)
  • Representative from NICE (invited)
16:35

Summary of the day, poster competition winner announced

Professor Sarah Coupland

President, RCPath

16:45 Close

CPD

This event is worth 5 CPD credits. 

Speakers and panellists

Dr Muhammad Aslam

Muhammad Aslam_ILF_Apr 2026

Dr Muhammad Babar Aslam, MBBS, FRCPATH, MBA (Health care) is a consultant pathologist in Betsi Cadwaladr University Health Board. He had special interest in using digital pathology and AI platforms to improve the services across all the specialties and had led innovative projects like all Wales AI deployment in prostatic pathology followed by breast, Upper GI, and pan cancer AI projects. He had various management roles in the NHS. Currently, he is also national clinical lead for Wales to support digital pathology and AI implementation projects. 

Dr David M Bailey

David Bailey 2026

Dr David M Bailey MB BS FRCPath is a consultant histopathologist and Clinical Lead for Cellular Pathology at North West Anglia NHS Foundation Trust (NWAngliaFT).

In my NHS consultant role, I have 28 years’ experience as a general histopathologist and autopsy pathologist. I am the breast pathology lead for NWAngliaFT and was a founder member of the British Association of Urological Pathologists. I have previously published best practice guidance for prostate pathology and taught on FRCPath part 2 courses.  I introduced digital histopathology and AI-assisted reporting to the Trust, and since September 2024, have been NWAngliaFT site lead for the Ibex Galen Breast biopsy AI algorithm multi-centre UK implementation trial following a successful funding bid to NIHR.

I held several key positions at the Royal College of Pathologists including Vice President for Communications and International Affairs (2014-17) and Director of Training and Assessment (2010-14). I led pathology training and service development projects in Iraq, Pakistan, Sudan and sub-Saharan Africa. I was the lead author for the RCPath histopathology training curriculum (2010) and introduced stand-alone Certificates for Higher Autopsy and Cervical Cytology Training.

I have held posts as Clinical Director for the ME5 Pathology Network, Regional Clinical Lead for Pathology for NHS East of England, and director roles at NWAngliaFT for the Family and Integrated Support Services and General and Specialty Medicine Divisions.

My first consultant role was in Buckinghamshire where I spent 12 years as the training programme director for the Oxford Histopathology training programme, and five years as Associate Postgraduate Dean in the Oxford Deanery. I was also worked as a performance coach and mentor for the Deanery professional development unit which supported doctors in difficulty at all levels.

Professor Mike Osborn

Resized 30 Headshot Mike Osborn.jpg

Professor Michael Osborn studied medicine at Guys & St Thomas Hospitals, London qualifying in 1995. He became a member of the Royal College of Surgeons in 2000 and a Fellow of the Royal College of Pathologists in 2004. Currently he works as a consultant histopathologist for North West London Pathology where he is Clinical Director. His working time is divided between post mortems, diagnostic gastrointestinal histopathology, and teaching. He also has a significant role for NHSE for whom he is National Specialty Adviser (NSA) for Pathology – Sustainability & Resilience & Clinical Lead for Pathology – London Region. He also runs an intercalated BSc “Humanities, Philosophy & Law” at Imperial College, London. He was the elected President of the Royal College of Pathologists (RCPath) in 2020 ending his term in 2023, having previously been on the RCPath Council and having had a variety of college roles including chair of their Cellular Pathology Speciality Advisory Committee and Death Investigation Committee. He became a Professor of Practice at Imperial College in 2021.

Professor Darren Treanor

Darren Treanor 2026

Prof Darren Treanor MB BSc (Computing) MD PhD is a consultant pathologist at Leeds Teaching Hospitals NHS Trust, honorary professor of pathology at the University of Leeds, adjunct professor in digital pathology at Linköping University, Sweden and Digital Histopathology Lead for the Royal College of Pathologists. He is a clinical director of the UKRI Centre for Doctoral Training in Artificial Intelligence in Healthcare at the University of Leeds and Director of the UK National Pathology Imaging Co-operative.

Dual qualified in medicine and computing, Prof Treanor runs the Leeds virtual pathology project, with a multi-disciplinary team working in digital pathology research and innovation. He has co-authored over 180 papers in the medical and computing literature, most of them concerned with the application or development of digital pathology in clinical and preclinical areas.

He is director of the National Pathology Imaging Co-operative, a £110m Industry-Academia-NHS collaboration to deploy digital pathology across more than 20 labs, and across 2 national networks to support sarcoma/bone and paediatric tumour diagnosis. NPIC will use this infrastructure to develop and test artificial intelligence systems to diagnose cancer, covering the whole AI lifecycle from development through evaluation to deployment.

At Linköping his research includes the clinical adoption and validation of digital pathology in a fully digitised department, and the development and implementation of AI.

Other research activities include 3D tissue reconstruction, image analysis, colour measurement/ correction and the use of digital pathology in education and training.

Further details are available at http://www.virtualpathology.leeds.ac.uk and https://npic.ac.uk 

Jeroen van der Laak

Jeroen Ven der Lak 2026

Jeroen van der Laak is professor of computational Pathology at the department of Pathology of the Radboud University Medical Center in Nijmegen, The Netherlands and guest professor at the Center for Medical Image Science and Visualization (CMIV) in Linköping, Sweden. His research focuses on the use of artificial intelligence (AI) for analysis of digitized histopathological images. His research group was among the first to show the large potential of so-called deep learning algorithms for analysis of whole slide images. Further research focused on the use of AI to support pathology diagnostics in areas such as breast cancer grading and Banff scoring in transplant kidney biopsies. He coordinated several well-known grand challenges (CAMELYON, MONKEY). Dr van der Laak co-authored over 200 peer-reviewed publications and was previously member of the board of directors of the Digital Pathology Association and is chair of the 'AI in Pathology' taskforce of the European Society of Pathology. He received research funding from, among others, the European Union, the Dutch Cancer Society and the Dutch government. Dr van der Laak is coordinator of the Bigpicture project, is USCAP Nathan Kaufman laureate and recipient of the AMMODO award for groundbreaking science. In 2021, he founded the Radboudumc spinoff Aiosyn, for which he is CSO.

Professor Clare Verrill

Clare Verrill_ILF_Apr 2026

Clare Verrill is Professor of Cellular Pathology and Artificial Intelligence with the Nuffield Department of Surgical Sciences at the University of Oxford and Honorary Consultant Cellular Pathologist with Oxford University Hospitals NHS Foundation Trust. Her sub speciality is urological pathology and has her own research group focussing on digital pathology and AI. The NHS Cellular Pathology Laboratory in Oxford has achieved the milestone of scanning 100% of surgical histology workload under her oversight. She was previously Oxford Principal Investigator for Oxford PathLAKE (one of the UK Government’s AI Centres of Excellence) and has worked with computer science partners to develop AI. She is the Principal Investigator of The Articulate Pro study, evaluating Paige Prostate AI in NHS settings and Principal Investigator of the Vanguard Path study, evaluating Artera AI. She is a previous Turing Fellow with the Alan Turing Institute.

 

Poster competition for trainees

The deadline for submission of an abstract is 23:59 on Monday 30 November 2026.

As part of this event we are running a poster competition for trainees, which is kindly sponsored by Algoscope. 

Entrants are initially invited to submit an abstract on the topic of the development, evaluation and implementation of AI in histopathology. Selected entrants will then be invited to prepare and present a full poster in person, at the College, as part of the event, AI at work: Practical adoption for histopathologists.

Timeline

  • Deadline for submission of an abstract: 23:59 GMT on Monday 30 November 2026.
  • Successful applicants notified: December 2026
  • Deadline for submission of a digital copy of the poster: 23:59 GMT on Monday 25 January 2027
  • Poster presentations: 4 February 2027

Submission guidance

Please refer to the terms and conditions for full details of the competition. Abstracts must be submitted by email to [email protected]; postal submissions will not be accepted. 

Prizes

There will be first, second and third prizes. First prize will be awarded £250, second prize will be awarded £150 and third prize will be awarded £100. All those who are invited to present a poster will receive a delegate space for the entire event, AI at work: Practical adoption for histopathologists.

Eligibility

The competition is only open to individuals currently enrolled in a pathology specialty training programme in the United Kingdom. 

Sponsors

We'd like to thank our sponsors for their support for this event. Sponsors have provided sponsorship to support costs of this event, without influencing the agenda or arrangements (other than sponsor-specific stands and presentations).

Gold sponsors

Source_LDPath_Logo Roche logo.jpg epredia logo cropped

Bronze sponsors

Algoscope logo PNG PathQA-logo_smaller.png AstraZeneca.png

Sponsor of the poster competition

Algoscope logo PNG