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Background
From traditional open surgery to laparoscopic surgery and robot‐assisted surgery, advances in robotics, machine learning, and imaging are pushing the surgical approach to‐wards better clinical outcomes. Pre‐clinical and clinical evidence suggests that automation may standardise techniques, increase efficiency, and reduce clinical complications.
Methods
A PRISMA‐guided search was conducted...
Background
For autonomous robot‐delivered surgeries to ever become a feasible option, we recommend the combination of human‐centered artificial intelligence (AI) and transparent machine learning (ML), with integrated Gross anatomy models. This can be supplemented with medical imaging data of cadavers for performance evaluation.
Methods
We reviewed technological advances and state‐of‐the‐art documented...
Background
This paper aims to move the debate forward regarding the potential for artificial intelligence (AI) and autonomous robotic surgery with a particular focus on ethics, regulation and legal aspects (such as civil law, international law, tort law, liability, medical malpractice, privacy and product/device legislation, among other aspects).
Methods
We conducted an intensive literature search...
BackgroundThe increasing demands of delivering higher quality global healthcare has resulted in a corresponding expansion in the development of computer‐based and robotic healthcare tools that rely on artificially intelligent technologies. The Turing test was designed to assess artificial intelligence (AI) in computer technology. It remains an important qualitative tool for testing the next generation...
BackgroundRobot‐assisted surgery is growing in popularity; however, robotic totally endoscopic coronary artery surgery (TECAB) remains challenging, particularly in multi‐vessel disease.
MethodsA review of the current literature surrounding TECAB using the da Vinci® system.
ResultsThe da Vinci robot is the only commercially available system, operating on a master–slave paradigm with the surgeon controlling...
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