«This may sound ironic coming from a neurosurgeon but, seriously, deploying artificial intelligence in medicine doesn’t have to be brain surgery. Nearly half of operating rooms are already well on their way to some form of AI integration. And while the potential for AI advancements in healthcare gets a great deal of attention as venture capitalists flock to the next promising application, it’s time to discuss how we can reach AI transformation in healthcare by engaging clinicians who see the potential in AI  (and believe in its value) from both a clinician and patient perspective.»

«AI applications in a clinical setting have the power to analyze massively complicated, multiple interrelated variables and understand sequences of events or patient variables. The North Star of our approach needs to be focused on improving patient outcomes, making care more accessible and reducing costs across the board. We also must engage with physicians using the technology — the surgeons and medical technicians who are the data engineers of our profession. The current state of AI surgical development reflects momentum from technologists and data innovators, but their efforts are not quite yet aligned with the needs of the end users. While AI has significant transformative potential and fully autonomous surgery is something our industry can aspire to, there is a lot we can accomplish in the conversation around AI in the meantime. This means technologists need to collaborate with healthcare providers to align in our approach to embracing AI.»

Article written by Samuel Browd



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