Artificial Intelligence and Health Care Webinar (RECORDED)
Independent
60 Cursos
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Resumen
Sumérjase en la fascinante intersección de la inteligencia artificial (IA) y la atención médica con este webinar grabado ofrecido por el Centro de Educación Médica Continua de la Universidad de Stanford. Disponible en cualquier momento desde su emisión original el 5 de mayo de 2020, este seminario web profundiza en la visión, oportunidades, desafíos e implicaciones que la IA tiene para la industria de la atención médica. Presentado en colaboración con Presence de Stanford, la Academia Nacional de Medicina (NAM) y la Oficina de Responsabilidad Gubernamental de EE. UU. (GAO), esta sesión es imprescindible para los profesionales ansiosos por entender el impacto actual y futuro de la IA en la atención médica.
El webinar cuenta con discusiones perspicaces sobre dos publicaciones significativas: "La Inteligencia Artificial en la Atención Médica: La Esperanza, el Exceso de Expectativas, la Promesa, el Peligro" de NAM y "La Inteligencia Artificial en la Atención Médica: Beneficios y Desafíos del Aprendizaje Automático en el Desarrollo de Medicamentos" de GAO. Estos trabajos exploran las soluciones actuales de IA y sus potenciales a corto plazo, los desafíos y limitaciones de la IA en la atención médica, y los marcos legales y regulatorios que dan forma a la adopción de la IA. Además, subrayan la importancia de la equidad, inclusión y una perspectiva de derechos humanos en el desarrollo de la IA, junto con estrategias para superar los desafíos del aprendizaje automático en el desarrollo de medicamentos, incluyendo la promoción de la investigación básica, la mejora del acceso y la compartición de datos, y la clarificación de marcos regulatorios.
Este webinar está categorizado bajo Cursos de Inteligencia Artificial, Cursos de Aprendizaje Automático, Cursos de Atención Médica, Cursos de Educación Médica Continua (CME), Cursos de Derechos Humanos, y Cursos de Inclusión, y se proporciona de manera independiente por la Universidad de Stanford. Representa una valiosa oportunidad para profesionales en los sectores de atención médica y IA para obtener conocimientos sobre el potencial transformador de la IA en medicina y atención médica.