Emergencies happen everywhere, and they're happening more often. With more people getting hurt, traditional ways of sorting patients don't cut it anymore. That's where smart triage systems come in—they use artificial intelligence to quickly figure out who needs help the most. This study looks into how AI is used in these systems and what hurdles come up when they're set up. It's all about making disaster response faster and smarter.

Imagine a big earthquake hits a city. Hospitals are flooded with injured people, and doctors have to quickly decide who needs help first. That's where AI comes in. It can analyze symptoms and vomit, pain, and other signs to figure out who's in the most danger. This way, doctors can focus on the most critical cases first.

These AI systems aren't perfect, though. They sometimes make mistakes, and doctors still need to check their work. Plus, setting up these systems in the first place can be tough. They need lots of data and training to work right. And in a disaster, that's not always easy to come by.

The study also talks about how these systems can help in other ways, like predicting how many people might get hurt in a disaster. That can help emergency crews get ready before it happens.

In the end, AI in triage is a big help, but it's not a magic fix. It needs careful planning and checking to work right. And it's not just about the technology—people still need to be at the heart of disaster response.

AI in Disaster Triage: How Tech Helps Sort the Injured

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