{"ok":true,"nota":{"id":"c8ad7d0b51fd8f45","slug":"una-app-con-foto-de-los-ojos-detecta-anemia-sin-pinchar-segun-un-estud-c8ad7d","titulo":"Una app con foto de los ojos detecta anemia sin pinchar, según un estudio en India rural","resumen":"Entrenaron un sistema de inteligencia artificial con fotos de la conjuntiva ocular tomadas con celular, junto a datos clínicos de pacientes de zonas rurales de India. Buscaron estimar la hemoglobina y clasificar la gravedad de la anemia sin extraer sangre.","fuente":"medrxiv","fuenteNombre":"medRxiv · preprints","color":"#1f7a4d","autor":"Desai, S., Gadgil, S., Gottala, V. A., Jesalpura, K., Ramnath, D., Gruzewska, E., Purandare, H., Liu, Y., Telang, U., Ta","url":"https://www.medrxiv.org/content/10.64898/2026.10.22.26366247v1?rss=1","imagen":"/hoy/portada/c8ad7d0b51fd8f45","tema":"tecnologia","subtemas":["inteligencia artificial","anemia","diagnóstico no invasivo","smartphones","salud rural"],"entidades":["India","SEWA Rural"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-26T00:00:00.000Z","indexTs":"2026-10-26T23:22:05.517Z","hash":"632303cbb920bb15e8763163199c9d6f1226881eba90436848cb85f83f657192","tsa":{"time":"Oct 26 23:23:00 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"La anemia afecta a más de dos mil millones de personas, pero hacer el control suele requerir sangre, equipos y laboratorio, y eso frena los controles masivos en lugares con pocos recursos. Un método que funcione con un celular cambia quién puede hacer el primer chequeo. Para una madre o un abuelo en un barrio sin centro de salud cerca, la diferencia entre detectar la anemia a tiempo o no puede pasar por algo tan simple como la cámara que ya tiene en el bolsillo.","quienFirma":"SEWA Rural","confianza":"preprint","consulta":null},"sello":{"hash":"632303cbb920bb15e8763163199c9d6f1226881eba90436848cb85f83f657192","sello":"0d957cf66bed143c90eacd09837ae74471215e2df3c89258514d3ac88dcb9e74","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6587531,"aleatorio":"fe6a0d1e32f33530ee3865ce898a933a679d836c030556cafcf9f7f9e03e9c1f","tiempo":"2026-10-26T23:22:30.000Z"},"nist":{"cadena":2,"pulso":2000959,"salida":"38EFC3652F96D1340187DD7D5B32A840F878CD33000D34F2E88A92400DF1FC86B990B57549F5A1FBF1EAABF05D417E628C2ED1C646A08A636235AA53F1954B2D","tiempo":"2026-10-26T23:22:00.000Z"},"noAntes":"2026-10-26T23:22:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 26 23:23:00 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Smartphone-based Non-Invasive Classification of Anemia Severity using Deep Learning: A Cross-Sectional Study in Rural India","descripcion":"Anemia affects over two billion people globally. Screening individuals for anemia in community settings currently involves blood sampling, either a capillary or venous blood sample for running a point of care test or a laboratory grade blood test for hemoglobin, respectively. The need for a blood sample, and laboratory equipment and accessories are barriers to widespread screening for anemia in lower resource settings. We present a non-invasive, artificial intelligence (AI)-driven method for measuring hemoglobin (Hb) and detecting anemia using smartphone-captured images. We collected images of conjunctivae, as well as demographic and clinical data from patients seeking care at SEWA Rural hos","pubDate":"2026-10-26","url":"https://www.medrxiv.org/content/10.64898/2026.10.22.26366247v1?rss=1"},"indexado":"2026-10-26T23:22:05.517Z"}}