W Zhang, M Cai, HJ Lee, R Evans, C Zhu… - Education and Information …, 2024 - Springer
Abstract Purpose Artificial Intelligence (AI) is transforming healthcare and shows considerable promise for the delivery of medical education. This systematic review provides …
The use of digital technology is increasing rapidly across surgical specialities, yet there is no consensus for the term 'digital surgery'. This is critical as digital health technologies present …
Performing prescribed physical exercises during home-based rehabilitation programs plays an important role in regaining muscle strength and improving balance for people with …
Rapid advances in digital technology and artificial intelligence in recent years have already begun to transform many industries, and are beginning to make headway into healthcare …
Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery remain relatively nascent. Here we review the integration of AI in the field of surgery …
AAJ Grüter, AS Van Lieshout, SE van Oostendorp… - Surgical …, 2023 - Springer
Background Quality of surgery has substantial impact on both short-and long-term clinical outcomes. This stresses the need for objective surgical quality assessment (SQA) for …
S Natheir, S Christie, R Yilmaz… - Computers in Biology …, 2023 - Elsevier
Virtual reality surgical simulators have facilitated surgical education by providing a safe training environment. Electroencephalography (EEG) has been employed to assess …
MWE Boal, D Anastasiou, F Tesfai… - British Journal of …, 2024 - academic.oup.com
Background There is a need to standardize training in robotic surgery, including objective assessment for accreditation. This systematic review aimed to identify objective tools for …
SB Shafiei, S Shadpour, JL Mohler… - Journal of robotic …, 2023 - Springer
The aim of this study was to develop machine learning classification models using electroencephalogram (EEG) and eye-gaze features to predict the level of surgical expertise …