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March 17, 2026

From hype to help: delivering real-world clinical value from AI in imaging

Artificial intelligence (AI) is now widely available in clinical imaging, yet its adoption into routine practice has been uneven. This article examines why regulatory clearance alone is insufficient to ensure clinical value and explores the practical considerations required for responsible AI deployment in radiology. Key themes include clinical risk assessment, local validation, explainability, workflow integration […]

Dr Anjum Ahmed

AGFA HealthCare

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March 17, 2026

Trusting clinical AI starts with understanding the language: a practical guide to the terms every clinical leader should know

This article argues that clinical AI trust is not earned by impressive algorithms, but by disciplined evidence and shared understanding. It begins with ground truth, the reference standard used to judge whether a model is correct. Every performance metric depends on it. If the reference is inconsistent, strong-looking results can still mislead leaders. Because of […]

Jamie Bergen

Ferrum Health

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March 18, 2025

Artificial intelligence in detecting paediatric fractures: where are we now?

Paediatric fractures make up a large part of the acute paediatric workload both in the emergency department and community-based care, such as urgent care and walk-in centres. Paediatric fractures can be very subtle, posing a diagnostic challenge for the untrained eye. Missed fractures can have a significant impact in children, including opportunities to raise safeguarding […]

Dr Emma Allan, Dr Emily Ashworth, Cato Pauling, Dr Susie Shelmerdine

University College London Hospital; Great Ormond Street Hospital; UCL Great Ormond Street Institute of Child Health; Great Ormond Street Hospital

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March 18, 2025

Adaptive radiotherapy and AI in head and neck cancer

Over 12,000 patients are diagnosed with head and neck cancer across the UK every year. Alcohol and tobacco use have long been established as primary risk factors for the development of these cancers. However, there has been a notable increase in the cases of oropharyngeal cancer in recent years, particularly those linked to the oncogenic […]

Polly Darby, John McLellan, Rafael Moleron

Aberdeen Royal Infirmary

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March 18, 2025

Improving PETCT using AI

Imagine a future where every PETCT scan delivers faster, sharper images and fewer diagnostic doubts or discrepancies – that is the potential transformative power of AI. I won’t take you through what AI, or machine learning (ML), is; for that can I simply direct you to another RAD Magazine article entitled ‘AI in multimodality imaging’ […]

Dr Peter Strouhal

Alliance Medical

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September 11, 2024

Testing the quality of image processing for human and AI readers

Generally, there are two main types of image processing applied to radiographic images: •pre-processing, which undertakes corrections for detector and x-ray field non-uniformities such as detector structural noise (‘for processing’). •post-processing, which aims to display the image optimally for the reader (‘for presentation’). This article discusses post-processing and focuses on mammography.

Alistair Mackenzie, John Loveland

Royal Surrey NHS Foundation Trust

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September 11, 2024

AI in multimodality imaging

AI is experiencing a boom, a culmination of decades of research and breakthroughs driven by advancements in computing power, algorithms and data availability. The convergence of these factors, combined with the recognition of the potential of AI to augment human capabilities, have propelled the field into the forefront of technological innovation. In particular, AI is […]

Richard Meades

The Royal Free London NHS Foundation Trust

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July 17, 2024

Can AI predict survival from pre-treatment PET images for patients with oesophageal cancer?

Oesophageal cancer is one of the leading causes of cancer death in the UK, with a 10-year survival rate of just 12%. Despite advances in diagnosis and curative treatment, the number of deaths from oesophageal cancer remains high, with over 50% of patients diagnosed with stage IV (incurable) disease. It is potentially curable with surgery […]