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An Ohio fire department's AI tool improved heart attack detection by spotting atypical symptoms, boosting paramedic accuracy, but high costs limit wider use.
A rural Ohio fire department used an AI system to improve emergency care, identifying that paramedics missed atypical heart attack symptoms like back and stomach pain.
The tool, developed by a paramedic and AI researcher, analyzes response data to create personalized training, leading to better patient outcomes in six months.
Despite proven benefits, widespread adoption is hindered by high costs of secure, closed-source AI systems needed to protect patient data.
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Una herramienta de IA del departamento de bomberos de Ohio mejoró la detección de ataques cardíacos al detectar síntomas atípicos, aumentando la precisión paramédica, pero los altos costos limitan un uso más amplio.