Congratulations to our Abstract Competition Finalists

A huge congratulations to all our winners and highly commended teams and finalists in this year's abstract competition. Their outstanding projects, showcasing innovative applications of AI in healthcare, were recognised on Tuesday 30 June by Dr Gerald Lip and Dr James Wang.

We would like to thank everyone who submitted an abstract. The standard of entries was exceptionally high, reflecting the breadth of innovation and research taking place across the healthcare community.

Explore this year's winning and highly-commended projects below. All the submitted abstracts are available to view online at our online abstract showcase. 

Winners:

• Geraldine Dean, AI lead and radiologist, TMC/Unilabs - Scaling AI across countries: a framework for safe implementation, monitoring, and human–AI interaction in real-world radiology practice
• Ramandeep Kang, Research Assistant, Alder Hey Childrens Hospital - Aesclepian vision: an offline end-to-end platform for unified DICOM acquisition, archiving, and AI-driven paediatric MRI and CT analysis with modular, clinically integrated workflows
• Asif Machhada, Radiology Registrar, St George's University Hospitals NHS Foundation Trust / Kingston and Richmond NHS Foundation Trust - Reader-dependent impact of AI on chest radiograph lung cancer management by lesion location
• Nikita Sushentsev, Academic Clinical Fellow, Cambridge University Hospitals NHS Foundation Trust - Transforming prostate cancer diagnostic pathway: clinical evaluation of an AI decision support system for biopsy optimisation

Highly-commended:

• Mark Hall, Consultant, Greater Glasgow and Clyde and David Lowe, Clinical Director Innovation / Consultant EM, NHS Greater Glasgow & Clyde / University of Glasgow - The RADICAL study: A large mixed-methods prospective study evaluating a commercial chest x-ray algorithm for detection of urgent suspicion of cancer
• Kevin Herbert, Research Associate, University of Cambridge - Economic evaluation of artificial intelligence deployment in lung cancer chest diagnostic imaging 
• Akriti Nanda, General Surgical Registrar, University College London Hospitals - How reliably can AI-generated OAR contours be used for prostate radiotherapy without compromising clinical dose constraints?
• Tia Rijlaarsdam, Medical student, Great Ormond Street Hospital - The identification of Beckwith-Wiedemann Syndrome through swap disentangled variational autoencoder

The People's Choice Award winner
We received an outstanding 477 votes for this year's People's Choice Award, highlighting the incredible engagement and support from our conference attendees. Congratulations to this year's winner: 

• Babajide Imran Wale-Akinyemi, Resident doctor, University College Hospital, Ibadan - Artificial intelligence in breast imaging: a systematic review of the current situation in Africa