Cancers of the central nervous system (CNS) remain difficult to treat and insufficiently understood, with high morbidity and mortality. Artificial intelligence is moving into the neuro-onco
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Metabolic dysfunction-associated steatotic liver disease is widespread and rising, increasing demand for non-invasive tools that quantify liver fat at scale. Liver biopsy is invasive and ma
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Osteoporosis remains underdiagnosed and undertreated despite established screening pathways. Many eligible patients are not referred for testing, and fracture risk
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Radiolucent foreign body aspiration (FBA) is challenging to recognise on computed tomography (CT) because visual cues can be faint or ambiguous. An artificial intelligence approac
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Contrast-enhanced mammography and dedicated breast CT add functional detail to structural images by using iodine-based contrast to highlight tumour blood supply. These techniques
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Phantom-based research is widely used in diagnostic radiology to evaluate imaging systems, refine protocols and validate image analysis without exposing patients or animals to ris
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Automated reading of chest x-rays (CXR) using computer-aided detection (CAD) is recommended for adults in tuberculosis (TB) screening and triage, yet paediatric use remains unaddressed. Chi
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Advanced prostate cancer (APC), encompassing stages such as metastatic hormone-sensitive prostate cancer (mHSPC) and castration-resistant prostate cancer (mCRPC), presents complex challenge
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Crohn’s disease often leads to bowel wall changes that are difficult to characterise without cross-sectional imaging. While CT involves radiation and MRI can be costly or impracti
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Personalised breast cancer screening relies on accurate near-term risk assessment to balance early detection with the harms of overdiagnosis. Interval cancers (ICs) that 
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