From the Turing test of the 1950s to ChatGPT today, artificial intelligence (AI) has been around for a long while even as healthcare systems have wrestled with definitions, uses and governance. While there’s a lot of potential with AI in healthcare—from medical imaging to predictive analytics, and virtual assistance to robotics and automation—its responsible use must take security, liability, confidentiality, availability, integrity and more into account to reap benefits around accuracy and speed of diagnoses, improved patient outcomes, increased efficiency and productivity and reduced costs.
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