As robotics and artificial intelligence technologies advance, their combined use in medicine will become pronounced as time marches on.
Simpler imaging techniques could even be carried out by artificial intelligence medical robots on their own. For example, an ultrasound imaging system could be integrated into an artificial intelligence-assisted robotic arm, enabling complete imaging without the need for a physician.For use in surgery, automated artificial intelligence medical robots are few and far between. One such example is the Smart Tissue Autonomous Robot, which can administer sutures without the aid of an operator.
One such challenge is the lack of high-quality medical data. Just as a large language model of artificial intelligence uses massive amounts of data pulled from search engines, medical artificial intelligence systems would require massive amounts of quality health data to determine correct courses of action for actions such as surgery, diagnostics, and diagnoses.
Another set of challenges is reliability and transparency. As these models are often excessively complex, the average patient is unlikely to understand how they operate and may question the validity of the model’s findings. As such, nearly all artificial intelligence-assisted medical robots will likely be assisted by physicians throughout the process, at least for the time being.
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