Abstract
Background: The drivers behind the Upper Gastrointestinal (UGI) multidisciplinary team (MDT) treatment decisions are not always explicit. National guidelines steer these decisions however human decision-making is vulnerable to subconscious biases. Machine-Learning (ML) may let us uncover these potential biases using simple, explainable AI solutions. This study is the first application of ML which examines decision-making within the oesophageal cancer (OC) MDT.
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Schedule a callMore From: Clinical oncology (Royal College of Radiologists (Great Britain))
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