{"ok":true,"nota":{"id":"72efb8c6b93ee1d0","slug":"una-herramienta-con-inteligencia-artificial-ayuda-a-encontrar-rapido-l-72efb8","titulo":"Una herramienta con inteligencia artificial ayuda a encontrar rápido la investigación sobre mpox","resumen":"Investigadores desarrollaron un sistema de inteligencia artificial que busca, resume y difunde evidencia científica sobre enfermedades infecciosas, probado con el caso de mpox. El trabajo describe el prototipo y una evaluación preliminar.","fuente":"scielo-ar","fuenteNombre":"SciELO Argentina","color":"#1f7a4d","autor":"Boante,L., Driver,S., Lang,T.","url":"http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1851-75872026000100006","imagen":"/hoy/portada/72efb8c6b93ee1d0","tema":"salud","subtemas":["inteligencia artificial","mpox","investigacion en salud","busqueda de evidencia"],"entidades":["SciELO Argentina"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-14T00:00:00.000Z","indexTs":"2026-10-22T21:54:18.825Z","hash":"1cf6c9fc7ed240a6d45885a83ce93bd218d9331cd4941fa53d8cf4593dc2d8b7","tsa":{"time":"Oct 22 21:56:35 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Cuando aparece un brote, los equipos de salud tienen que leer una cantidad enorme de estudios en poco tiempo, y muchas veces lo importante se pierde. Un sistema que ordene esa información podría acelerar decisiones sobre vacunas, controles y atención en hospitales. Para un vecino, eso puede traducirse en que una recomendación sanitaria llegue antes. Aún es un prototipo con evaluación preliminar, así que todavía no se sabe cuánto mejora la práctica real.","quienFirma":"SciELO Argentina","confianza":"revisado","consulta":null},"sello":{"hash":"1cf6c9fc7ed240a6d45885a83ce93bd218d9331cd4941fa53d8cf4593dc2d8b7","sello":"54bd436895adc75deb84cd85ff604d98dc82384d14a47e1e9b4ccf0eb18bbcb6","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6575839,"aleatorio":"f5ce7a4f62c92fd74bd3206280f46ca28da0b376ebdeaa0f53ab898161b6d284","tiempo":"2026-10-22T21:56:30.000Z"},"nist":{"cadena":2,"pulso":1995119,"salida":"85A4217EA3EF7B6A6285FC74F0A62597EBE07B7E904B7ADCE5A6CB779F1B6DF560529110107B8BA81E8B1678570BD1E03A8C15F80D4C2AF5860DCF1E95313527","tiempo":"2026-10-22T21:56:00.000Z"},"noAntes":"2026-10-22T21:56:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 21:56:35 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"AI-Driven system for infectious disease research: streamlining information access and discoverability 0: system development andpilot case in MPOX","descripcion":"Abstract Backqround: The exponential qrowth of scientific literature hinders infectious disease outbreak manaqement, in which rapid and reliable access to evidence is essential for informed decision-makinq. Traditional search methods struqqle to process heteroqeneous and fast-evolvinq sources, resultinq in information overload and delayinq the deployment of emerqinq knowledqe into health policies and clinical practices. Objective: To describe both the development and preliminary evaluation of an AI system based on Retrieval-Auqmented Generation (RAG) to optimise information retrieval, synthesis, and dissemination in infectious disease research, usinq MPOX as a pilot case. Methods: A technical, descriptive approach was used to desiqn a prototype system inteqratinq semantic retrieval and qenerative modellinq. The system leveraqes state-of-the-art natural lanquaqe processinq and machine lea","pubDate":"2026-10-14","url":"http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1851-75872026000100006"},"indexado":"2026-10-22T21:54:18.825Z"}}