Interpretable clinical prediction models remain difficult to build when key information is buried in unstructured clinical notes. Human+Agent Co-design for Healthcare Instruments, known as
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Large language models are moving into colorectal cancer (CRC) care as health systems handle complex guideline-driven pathways and large volumes of unstructured clinical text. A recent syste
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Depth of stromal invasion is a key factor in early-stage cervical cancer because it influences surgical planning and postoperative care. Conventional imaging already supports preoperative a
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PET/CT services face pressure to maintain image quality while reducing scan time and radiopharmaceutical exposure in oncology imaging. Deep learning offers a way to reconstruct clearer low-
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Geometric distortion in prostate diffusion-weighted MRI can make anatomy appear shifted or deformed, reducing alignment with T2-weighted images and complicating interpretation. A 2026 analy
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Explainable artificial intelligence is increasingly used in oncology imaging to make model outputs more transparent and clinically interpretable. Many systems, however, still rely on opaque
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Robotic technology is expanding across healthcare systems, with uses in surgery, rehabilitation, patient assistance and logistical automation. Robots have been used in healthcare for more t
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Artificial intelligence enters medical imaging and radiation oncology workflows, increasing the need for structured education, digital literacy and safe clinical oversight. A 2026 original
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A major shift is occurring in artificial intelligence (AI) in perioperative medicine. Previously, AI was used to process large datasets, including patient records and research data, to identify 1
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Euroanaesthesia opens each year with the Sir Macintosh and Prof. Ibsen lectures, celebrating the legacy of these two pioneers in anaesthesiology and intensive care. These sessions provide an opp1
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