AI-powered clinical digital assistants have evolved from the early usage of Personal Digital Assistants (PDAs) in healthcare. PDAs were mobile devices that gave healthcare workers rapid access to medical information, which improved decision-making and reduced medical mistakes. Over time, advances in artificial intelligence (AI) and natural language processing (NLP) have substantially improved the capabilities of these digital assistants.
AI integration into healthcare began in the 1990s and early 2000s with systems like MYCIN and INTERNIST-1, albeit these early systems were not widely used. The exponential development in processing power, the expansion of genetic datasets, and the widespread use of Electronic Health Records (EHR) have prepared the path for increasingly advanced AI appli
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