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A diferencia de los humanos, la IA nunca necesita descansar. Los modelos de machine learning podrían usarse para observar los signos vitales de los pacientes que reciben cuidados críticos y alertar a los médicos si ciertos factores de peligro aumentan. Si acertadamente los dispositivos médicos como los monitores cardíacos pueden rastrear los signos vitales, la IA puede compilar los datos de esos dispositivos y buscar afecciones más complejas, como la sepsis.

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com) de 53 estudios revisados por pares que examinaron el impacto de la IA en la seguridad del paciente encontró que las herramientas de apoyo a la toma de decisiones impulsadas por IA pueden ayudar a mejorar la detección de errores y la dirección de medicamentos.

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