{"ok":true,"nota":{"id":"700c69b6e4dcec41","slug":"una-ia-midio-la-funcion-de-cuatro-camaras-del-corazon-en-mas-de-8-000--700c69","titulo":"Una IA midió la función de cuatro cámaras del corazón en más de 8.000 ecografías y detectó riesgos","resumen":"Un sistema de inteligencia artificial midió automáticamente la deformación del músculo de cuatro cavidades cardíacas en 8.350 ecografías de rutina. Luego analizaron agrupamientos de funcionamiento y su relación con el pronóstico de los pacientes.","fuente":"medrxiv","fuenteNombre":"medRxiv · preprints","color":"#1f7a4d","autor":"Noh, S. A., Park, J., Yoon, Y. E., Jeon, J., Jang, Y., Lee, S.-A., Bak, M., Choi, H.-M., Hwang, I.-C., Cho, G.-Y.","url":"https://www.medrxiv.org/content/10.64898/2026.10.20.26365880v1?rss=1","imagen":"/hoy/portada/700c69b6e4dcec41","tema":"salud","subtemas":["ecocardiografía","inteligencia artificial","función cardíaca","pronóstico","diagnóstico precoz"],"entidades":[],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-21T00:00:00.000Z","indexTs":"2026-10-21T22:39:37.287Z","hash":"a15d0d059a1c175029bad363a0ff16fb3d05a54665ae71520894e2e5a6a577c5","tsa":{"time":"Oct 21 22:40:53 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Hasta ahora este tipo de medición fina se hacía solo en casos seleccionados, y ahora podría aplicarse a cualquier ecografía de rutina. Eso significa que un problema cardíaco silencioso podría aparecer antes en un estudio común. El trabajo es retrospectivo y de un solo hospital, así que hace falta confirmar que los resultados se sostienen en otros centros.","quienFirma":"Institución no identificada en el resumen (medRxiv)","confianza":"preprint","consulta":null},"sello":{"hash":"a15d0d059a1c175029bad363a0ff16fb3d05a54665ae71520894e2e5a6a577c5","sello":"9c79ae0a07e2853fa576341e1f5742ba22b7a503f1c8544f36c70a96f5226c0d","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6573047,"aleatorio":"2d5bf513cf7c1affa7426736d172d5981c9a94749f3f1efee998c0506487381c","tiempo":"2026-10-21T22:40:30.000Z"},"nist":{"cadena":2,"pulso":1993729,"salida":"2566CA36D87E2FBEC4D5E015FFCF0C1864DBD9B1365EDEAC0694FBFCE2C52475A35169CBCB950FAB325AC47DB3FC6E6C4F08665F398AD5CA0CA7EEC98EA260E3","tiempo":"2026-10-21T22:40:00.000Z"},"noAntes":"2026-10-21T22:40:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 21 22:40:53 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Fully Automated Multi-Chamber Strain Profiling in Consecutive Patients Undergoing Transthoracic Echocardiography: Feasibility, Functional Clustering, and Prognostic Implications","descripcion":"Aims: Myocardial strain enables sensitive assessment of cardiac function, but its clinical application has largely focused on individual chambers or selected patient populations. We evaluated the feasibility and clinical relevance of fully automated multi-chamber strain assessment in consecutive patients undergoing routine transthoracic echocardiography (TTE). Methods and results: This retrospective study included 8,350 consecutive adults undergoing TTE. A hospital-wide artificial intelligence (AI)-based system automatically measured left ventricular (LV) global longitudinal strain (LVGLS), left atrial (LA) reservoir strain (LASr), and right ventricular (RV) free-wall strain (RVFWS). AI-deri","pubDate":"2026-10-21","url":"https://www.medrxiv.org/content/10.64898/2026.10.20.26365880v1?rss=1"},"indexado":"2026-10-21T22:39:37.287Z"}}