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Inteligencia artificial para la práctica de la gastroenterología: un consenso de Delphi modificado.

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La inteligencia artificial (IA) ofrece un potencial significativo en gastroenterología, hepatología y endoscopia. Este consenso proporciona recomendaciones para la integración responsable de la IA, centrándose en aumentar la experiencia clínica para mejorar la atención al paciente.

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Área de la Ciencia:

  • Gastroenterología y Gastroenterología.
  • Hepatología Hepatología.
  • La endoscopia es una endoscopia.
  • La inteligencia artificial es inteligencia artificial.

Sus antecedentes:

  • El Colegio Americano de Gastroenterología convocó a expertos para evaluar el papel de la IA en GI, hígado y endoscopia.
  • El objetivo era desarrollar recomendaciones basadas en el consenso para integrar la IA en la práctica clínica.

Objetivo del estudio:

  • Evaluar el estado actual y la dirección futura de la inteligencia artificial (IA) en gastroenterología, hepatología y endoscopia.
  • Desarrollar recomendaciones basadas en el consenso para la integración responsable de la IA en la práctica clínica.

Principales métodos:

  • Un grupo de trabajo multidisciplinario de 32 expertos y 12 socios de la industria llevó a cabo revisiones de la literatura.
  • Se utilizó un proceso Delphi modificado con votación electrónica para llegar a un consenso sobre los proyectos de declaraciones.
  • El consenso se definió como ≥70% de acuerdo, con revisiones y re-votación para los puntos no consensuados.

Principales resultados:

  • Se desarrollaron 43 declaraciones, con el 93% alcanzando consenso rápidamente.
  • La detección asistida por computadora (CADe) es prometedora en la endoscopia, pero el impacto en el mundo real y los resultados a largo plazo requieren más estudios.
  • Las aplicaciones de IA en la gestión de la práctica, la capacitación, la EII, la hepatología y la ética muestran potencial, enfatizando la validación, la reducción de sesgos y la capacitación de la fuerza laboral.

Conclusiones:

  • La IA puede aumentar la experiencia clínica, mejorando la seguridad, la transparencia y la equidad en la atención gastrointestinal, hepática y endoscópica.
  • Las prioridades para la adopción de la IA incluyen ensayos prospectivos, intercambio de datos, mitigación de sesgos y capacitación de la fuerza laboral.
  • La integración confiable y clínicamente impactante de la IA requiere un enfoque en la implementación pragmática y la colaboración multi-institucional.