{"id":70918,"date":"2025-01-22T19:42:59","date_gmt":"2025-01-22T18:42:59","guid":{"rendered":"https:\/\/www.aeemt.org\/web\/?page_id=70918"},"modified":"2025-01-22T19:52:46","modified_gmt":"2025-01-22T18:52:46","slug":"revision-2-mdt-vol33-n4-diciembre-2024","status":"publish","type":"page","link":"https:\/\/www.aeemt.org\/web\/revision-2-mdt-vol33-n4-diciembre-2024\/","title":{"rendered":"Revisi\u00f3n 2 MDT VOL33 N4 Diciembre 2024"},"content":{"rendered":"

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Aplicaciones de la Inteligencia Artificial en Salud y Seguridad en el trabajo: Una Revisi\u00f3n Sistem\u00e1tica<\/h2>\n\t\t\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row rt_row_background_width=\u00bbdefault\u00bb rt_row_style=\u00bbdefault-style\u00bb rt_row_borders=\u00bb\u00bb rt_row_paddings=\u00bbtrue\u00bb rt_bg_effect=\u00bbclassic\u00bb rt_bg_image_repeat=\u00bbrepeat\u00bb rt_bg_size=\u00bbcover\u00bb rt_bg_position=\u00bbright top\u00bb rt_bg_attachment=\u00bbscroll\u00bb rt_bg_video_format=\u00bbself-hosted\u00bb][vc_column rt_wrp_col_paddings=\u00bbfalse\u00bb rt_border_top=\u00bb\u00bb rt_border_bottom=\u00bb\u00bb rt_border_left=\u00bb\u00bb rt_border_right=\u00bb\u00bb rt_border_top_mobile=\u00bb\u00bb rt_border_bottom_mobile=\u00bb\u00bb rt_border_left_mobile=\u00bb\u00bb rt_border_right_mobile=\u00bb\u00bb rt_bg_image_repeat=\u00bbrepeat\u00bb rt_bg_size=\u00bbauto auto\u00bb rt_bg_position=\u00bbright top\u00bb rt_bg_attachment=\u00bbscroll\u00bb][vc_column_text css=\u00bb\u00bb]<\/p>\n

\"\"<\/p>\n

N\u00famero de la Revista: Vol. 33 – n\u00ba 04- Diciembre 2024<\/p>\n

Secci\u00f3n:<\/strong>\u00a0Original
\nT\u00edtulo: <\/strong>Aplicaciones de la Inteligencia Artificial en Salud y Seguridad en el trabajo: Una Revisi\u00f3n Sistem\u00e1tica<\/p>\n

Autores:<\/strong><\/p>\n

Carlos Federico Molina Casta\u00f1o<\/em><\/strong>(1)<\/sup><\/em><\/strong>, Catalina Maria Arango Alzate<\/em><\/strong>(2)<\/sup><\/em><\/strong><\/p>\n

1 <\/sup><\/em>Doctor en epidemiolog\u00eda docente del Tecnol\u00f3gico de Antioquia adscrito a la Facultad de Derecho Ciencias Forenses y director del grupo BISMA. Medell\u00edn, Antioquia, Colombia<\/em>
\n2<\/sup><\/em>Doctora en epidemiolog\u00eda docente del Colegio Mayor de Antioquia adscrita la Facultad de Ciencias de la Salud. <\/em>Medell\u00edn, Antioquia, Colombia<\/em><\/p>\n

Correspondencia:<\/strong><\/p>\n

Carlos Federico Molina Casta\u00f1o<\/em><\/strong><\/p>\n

Direcci\u00f3n: CL 78B # 72A-220, Medell\u00edn, Antioquia, Colombia
\nCorreo electr\u00f3nico: cmolina@tdea.edu.co<\/a><\/p>\n

Palabras Clave<\/strong>: Salud Ocupacional; Inteligencia Artificial; Seguridad en el Trabajo; Evaluaci\u00f3n de Riesgos; Aprendizaje Autom\u00e1tico<\/p>\n

Keywords<\/strong>: Occupational Health; Artificial Intelligence; Occupational Safety; Risk Assessment; Machine Learning<\/p>\n

Cita Art\u00edculo<\/strong>: Carlos Federico Molina Casta\u00f1o et al. Aplicaciones de la Inteligencia Artificial en Salud y Seguridad en el trabajo: Una Revisi\u00f3n Sistem\u00e1tica. Rev Asoc Esp Espec Med Trab 2024; 33(4):483-500<\/p>\n

Acceso al PDF:

PDF del Art\u00edculo<\/strong><\/a><\/div>\n

RESUMEN.<\/strong><\/p>\n

Introducci\u00f3n:<\/strong> La inteligencia artificial (IA) tiene un gran potencial para mejorar la seguridad y salud en el trabajo mediante la implementaci\u00f3n de tecnolog\u00edas avanzadas<\/p>\n

Material y M\u00e9todos:<\/strong> Se realiz\u00f3 una revisi\u00f3n sistem\u00e1tica siguiendo las directrices PRISMA y MOOSE. Se realiz\u00f3 b\u00fasqueda en PubMed, Cochrane, BVS, Scopus y Google Acad\u00e9mico. Se realizo un proceso de selecci\u00f3n y valoraci\u00f3n de la calidad metodol\u00f3gica de los estudios.<\/p>\n

Resultados:<\/strong> Se incluyeron 15 estudios.\u00a0 Se apreci\u00f3 efectividad de las redes neuronales en la predicci\u00f3n de p\u00e9rdida auditiva, los programas de salud asistidos por IA mejoraron los s\u00edntomas musculoesquel\u00e9ticos y se destac\u00f3 la capacidad de la IA para la vigilancia y diagn\u00f3stico de enfermedades ocupacionales.<\/p>\n

Discusi\u00f3n:<\/strong>. Los hallazgos de esta revisi\u00f3n sugieren que la IA puede mejorar la seguridad y salud en el trabajo, reducir costos y promover un entorno laboral m\u00e1s seguro, aunque los estudios carecieron de dise\u00f1os experimentales robustos y seguimiento a largo plazo.<\/p>\n

Title: APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN OCCUPATIONAL HEALTH AND SAFETY: A SYSTEMATIC REVIEW<\/strong><\/p>\n

Abstract:<\/strong><\/p>\n

Background:<\/strong> Artificial intelligence (AI) has great potential to improve occupational safety and health by implementing advanced technologies.<\/p>\n

Material and Methodos:<\/strong> A systematic review was performed following PRISMA and MOOSE guidelines. We searched PubMed, Cochrane, BVS, Scopus and Google Scholar. A process of selection and evaluation of the methodological quality of the studies was carried out.<\/p>\n

Results:<\/strong> 15 studies were included.\u00a0 The effectiveness of neural networks in predicting hearing loss was appreciated, AI-assisted health programs improved musculoskeletal symptoms, and the capacity of AI for surveillance and diagnosis of occupational diseases was highlighted.<\/p>\n

Discussion:<\/strong> The findings of this review suggest that AI can improve occupational safety and health, reduce costs, and promote a safer work environment, although the studies lacked robust experimental designs and long-term follow-up.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

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