{"ok":true,"nota":{"id":"5160ba6d333e6f8a","slug":"una-inteligencia-artificial-puede-calificar-cuanto-entiende-un-adulto--5160ba","titulo":"Una inteligencia artificial puede calificar cuánto entiende un adulto mayor con audífono","resumen":"Probaron si modelos de lenguaje pueden evaluar la comprensión de oraciones y cuentos escuchados con ruido de fondo en adultos mayores con audífonos. Los puntajes automáticos fueron casi iguales a los de métodos tradicionales.","fuente":"medrxiv","fuenteNombre":"medRxiv · preprints","color":"#1f7a4d","autor":"Ren, Y., Iwuoha, N., Bobbitt, S., Raessi, T., Ciechanowski, S., Gordon, K. A., Herrmann, B.","url":"https://www.medrxiv.org/content/10.64898/2026.10.22.26366255v1?rss=1","imagen":"/hoy/portada/5160ba6d333e6f8a","tema":"tecnologia","subtemas":["audífonos","inteligencia artificial","adultos mayores","audición","modelos de lenguaje"],"entidades":["medRxiv"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-26T00:00:00.000Z","indexTs":"2026-10-26T15:36:30.917Z","hash":"e7d738cc0352d0f757954ed2c9b8509eb8713d3c5d0d22a9ac6b797f8fa758d2","tsa":{"time":"Oct 26 15:37:03 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"motor","registro":"hallazgo","porQueImporta":"Medir si un audífono realmente ayuda en la vida diaria, escuchando conversaciones y no solo frases sueltas, siempre fue lento y caro. Con 39 personas de mediana 75 años, la IA replicó los puntajes clásicos y detectó quién se beneficia más. Para un jubilado que pelea por escuchar al nieto en una reunión, eso puede acortar el camino hasta el audífono que le sirve de verdad. Si la herramienta se generaliza, la evaluación deja de depender solo de especialistas y tiempos largos.","quienFirma":"medRxiv (preprint; estudio con adultos mayores usuarios de audífonos)","confianza":"preprint","consulta":{"pregunta":"¿Confiarías en una IA para evaluar tu audición?"}},"sello":{"hash":"e7d738cc0352d0f757954ed2c9b8509eb8713d3c5d0d22a9ac6b797f8fa758d2","sello":"53ef3d8ef97e48c562856e9a1032de229f001c787eb76801e8dbd76206de53be","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6586600,"aleatorio":"b890a385cf92974374211108b695f20f26b378db0776577c156830220ff127b8","tiempo":"2026-10-26T15:37:00.000Z"},"nist":{"cadena":2,"pulso":2000493,"salida":"561AB66CD420DAD021A79CE9030A7B3512C7392399F0542651AB8883F6508DDB391A1A35AF6893D1E04E4FDDE2374CB221AE98089FAC353C5E66C30F2D8BF390","tiempo":"2026-10-26T15:36:00.000Z"},"noAntes":"2026-10-26T15:37:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 26 15:37:03 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Examining hearing-aid benefit during story listening in older adults using large language models","descripcion":"Hearing-aid benefit is typically assessed with isolated sentences, whereas everyday listening involves continuous speech. Yet, scoring comprehension of such speech can be labor-intensive. Here, we examined whether large language models (LLMs) can assess speech intelligibility and story comprehension in older hearing-aid users, and identify who benefits from hearing aids. Thirty-nine older adults (median age: 75 years) listened to sentences and short stories in multi-talker babble, under aided and unaided conditions. LLM-based intelligibility scores were nearly identical to established, rule-based scores. LLM-based intelligibility, gist, and detail recall scores were sensitive to masking and ","pubDate":"2026-10-26","url":"https://www.medrxiv.org/content/10.64898/2026.10.22.26366255v1?rss=1"},"indexado":"2026-10-26T15:36:30.917Z"}}