The downside of the learning approach, however, is that it’s more opaque and unpredictable than the model approach. Russell Taylor, another researcher on the panel, argued that the introduction of these capabilities into actual clinical use will have to be gradual, with clear assurances that the robot will not harm the patient. He also argued that robots should only be used if they have a clear advantage, either enabling surgeons to perform tasks better and more safely, or making it possible to do something that wasn’t possible before. If these robots are further proven to be more consistent and precise, it could be a game-changer for safety and better surgery outcomes: human surgeons are human after all, which means they get fatigued and make mistakes.
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