The international journal of medical robotics + computer assisted surgery : MRCAS
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Robot-assisted surgery is growing in popularity; however, robotic totally endoscopic coronary artery surgery (TECAB) remains challenging, particularly in multi-vessel disease. ⋯ Robotic surgery today is presented with challenges, including dealing with a non-perfect robot without haptic control, a steep learning curve, lack of established training criteria and high cost. Strategies such as structured, simulated training and novel anastomotic devices may potentially shorten the learning curve, improve patency and facilitate grafting in multi-vessel disease. Future challenges will include the ability to demonstrate long-term patency, morbidity and mortality at least comparable to conventional CABG, whilst also offering cost effectiveness in this increasingly difficult economic environment.
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The 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 of medical diagnostics and medical robotics. ⋯ Modification of the Turing test to offer robust diagnostic scores for AI can contribute to enhancing and refining the next generation of digital diagnostic technologies and healthcare robotics.