Medical experts have been relying on text-based medical knowledge for millennia, relying on longstanding experience and searching for insights on how to better examine, understand, and diagnose disease correctly, from minor rashes to rare maladies.
With advice on various gynecological issues, the text deals with specific problems, the related diagnoses, and recommended treatments.
Before the first ‘Kahun’, ancient medicine was taught and practiced orally, with no documentation. It signified a new era for medical knowledge. Years later, another revolution came along when medical texts could be printed, shared, and referenced. Today, when almost all references have moved to the digital space, we can browse over 30 million medical articles over the internet.
But after 4000 years, medical professionals still need to search through texts to find what they need. This task is becoming more and more difficult as the number of publications grows almost daily.
Kahun is poised to bring about another revolution in the way medical information is shared and accessed. By mapping medical knowledge into a language that algorithms can read, AI can transform how physicians access medical knowledge so they provide better care for their patients.
Today, we can discover all the articles and the ways in which a particular finding is connected to different diseases—through immediate, visual access to knowledge.
Because Kahun’s advanced AI algorithms are evidence-driven, physicians can see the clinical reasoning, along with links to the original literature. All suggestions are easily justified and explained in a language that is familiar and understood by physicians. It’s a story of discovery, ready to be rediscovered.