<ul><li>This systematic review evaluates Artificial Intelligence (AI) methods in radiological imaging for the diagnosis and prognosis of soft-tissue and bone tumours.</li><li>The review highlights challenges in clinical translation and assesses the alignment of studies with the CLAIM and FUTURE-AI guidelines.</li><li>Out of 325 evaluated articles, most studies performed moderately on CLAIM but poorly on FUTURE-AI.</li><li>The review suggests that AI developers should focus on design, development, evaluation, and data reproducibility to improve the clinical translation of AI methods.</li></ul>

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines

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