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"Kwok, Ka-Wai, editor"
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Machine learning, medical AI and robotics : translating theory into the clinic
Medical AI and robotics are fields undergoing rapid expansion and have reached a maturity point nearly ready for clinical translation. However, several issues still exist that need to be highlighted in order to address some of the obstacles in clinical adoption. At present much research has focused on proof of concept and confined experimental studies which have shown promising results in medical artificial intelligence and robotics applications. However, little has been done to address the clinical translation of these technologies. There are several issues that need to be addressed which will form core parts of this book. Broadly, there are issues like need to generate level 1 evidence (e.g. prospective randomised controlled trials), regulatory obstacles, the need to find an optimal human working/collaboration, clinical workflow integration, and implementation in real-time at scale.