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Share Artificial intelligence ‘deep learning’ techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer, potentially leading to faster and earlier diagnoses, say researchers at the University of Cambridge. When researchers applied the technique to analysing samples obtained using the ‘pill on a string’ diagnostic tool Cytosponge, they found that it was capable of reducing by half pathologists’ workload while matching the accuracy of even experienced pathologists. Early detection of cancer often leads to better survival because pre-malignant lesions and early stage tumours can be more effectively treated. This is particularly important for oesophageal cancer, the sixth most common cause for cancer-related deaths. Patients usually present at an advanced stage with swallowing difficulties and weight loss. The five-year overall survival can be as low as 13%.

United kingdomFlorian markowetzRebecca fitzgeraldUniversity of cambridgeCambridge instituteCancer research united kingdomCambridge university hospitalsResearch councilGastro oesophageal reflux diseaseNature medicineMedical research councilஒன்றுபட்டது கிஂக்டம்ரிபேக்க ஃபிட்ஸ்‌ஜெரல்ட்பல்கலைக்கழகம் ஆஃப் கேம்பிரிட்ஜ்கேம்பிரிட்ஜ் நிறுவனம்புற்றுநோய் ஆராய்ச்சி ஒன்றுபட்டது கிஂக்டம்