Large‐scale artificial intelligence (AI) models such as ChatGPT have the potential to
improve performance on many benchmarks and real‐world tasks. However, it is difficult to …

Advances in Artificial Intelligence (AI) and sensors are significantly impacting multiple areas,
including education and workplaces. Following the PRISMA methodology, this review …

Deep Learning (DL) has achieved robust competency assessment in various high-stakes
fields. However, the applicability of DL models is often hampered by their substantial data …

Lack of adequate skills are the most prominent contributor to the persistent problem of
surgical errors throughout the early phases of a novice surgeon's training. Therefore, it is …

Learning surgical skills from trained surgeons can increase the level of autonomy of surgical
robots and provide assistance for surgeons in an appropriate way during surgery. However …

In this study, we present an intuitive machine learning-based approach to evaluate and
interpret surgical skills level of a participant working with robotic platforms. The proposed …

Precise instrument segmentation helps tracking of instruments in surgery. The most of the
existing instrument segmentation methods are fully supervised, which are based on 100 …

Medical and Healthcare Robotics: New Paradigms and Recent Advances provides an
overview and exclusive insights into current trends, the most recent innovations, and …

Bimanual tasks, where the brain must simultaneously control and plan the movements of
both hands, such as needle passing and tissue cutting, commonly exist in surgeries, eg …

In this study, we present a novel machine learning-based technique to help surgical mentors
assess surgical motion trajectories and corresponding surgical skills levels in surgical …