PURPOSE: We recently described the validation of deep learning-based auto-segmented contour (DC) models for organs at risk (OAR) and clinical target volumes (CTV). In this study, we evaluate the performance of implemented DC models in the clinical ra...
International journal of medical informatics
Dec 4, 2019
BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. Their impact on users carries implications for successfully integrating technological innovations into care. This study aims to identify the impacts of c...
BACKGROUND: In practical research, it was found that most people made health-related decisions not based on numerical data but on perceptions. Examples include the perceptions and their corresponding linguistic values of health risks such as, smoking...
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jan 1, 2020
Artificial intelligence (AI) has been studied in ophthalmology since availability of digital information in ophthalmic care. The significant turning point was availability of commercial digital color fundus photography in the late 1990s, which caused...
INTRODUCTION: We describe the initiation of a multidisciplinary centre for robotic surgery including the implementation of robotic-assisted procedures as standard procedure for the majority of cancer operations in urology, gynaecology and gastrointes...
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