The Amazing Ways AI Agents Will Transform Healthcare

Healthcare is already a hotbed of AI activity, which has more than proved its worth as a tool for diagnosing illness, monitoring recovery, and developing new medicines.But globally, the industry is still grappling with longstanding challenges, including shortages of clinical staff, aging populations, and managing the front-loaded costs of transitioning to more preventative models of healthcare.This is where AI agents, the next wave of AI transformation, will come in. Compared to existing AI (think of the current generation of language-based chatbots like ChatGPT), agentic AI is capable of carrying out far more complex tasks with minimal human interaction.To give a simple example, a non-agentic computer vision-based AI algorithm can be used to scan medical images and spot early warning signs of cancer.

Medigy Insights

There are several use cases for agentic applications in healthcare. Although most are currently theoretical, they give us an idea of how agents could surpass the capability of non-agentic tools and apps.Automated triage and scheduling systems could relieve clinical and administrative staff of much of the burden of routine procedures and paperwork. Rather than simply asking patients to answer questions, it can use computer vision to carry out initial examinations and flag urgent cases for immediate help.

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