{"id":4485,"date":"2023-08-21T19:13:36","date_gmt":"2023-08-21T19:13:36","guid":{"rendered":"https:\/\/dailyai.com\/?p=4485"},"modified":"2023-08-22T08:52:13","modified_gmt":"2023-08-22T08:52:13","slug":"ai-tool-for-diagnosing-heart-age-is-put-to-the-test","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/08\/ai-tool-for-diagnosing-heart-age-is-put-to-the-test\/","title":{"rendered":"Se pone a prueba una herramienta de IA para diagnosticar la edad card\u00edaca"},"content":{"rendered":"

Una innovadora herramienta de IA puede revelar c\u00f3mo opciones de estilo de vida como beber, fumar, una dieta inadecuada y la inactividad pueden envejecer prematuramente el coraz\u00f3n.\u00a0<\/b><\/p>\n

Esta IA fue <\/span>desarrollado por un equipo dirigido<\/span><\/a> por el profesor Declan O'Regan, del Instituto de Ciencias M\u00e9dicas de Londres del Consejo de Investigaci\u00f3n M\u00e9dica.<\/span><\/p>\n

Pallab Ghosh, corresponsal cient\u00edfico de la BBC, curioso por su propia salud cardiaca, voluntarios para experimentar<\/a> esta evaluaci\u00f3n vanguardista de la IA.<\/span><\/p>\n

El director del equipo, el profesor O'Regan, explic\u00f3 la importancia de la herramienta: \"Cuando miramos la cara de alguien, somos expertos en juzgar si parece joven o viejo para su edad; nuestros \u00f3rganos son iguales\".\u00a0<\/span><\/p>\n

Algunas personas tienen un coraz\u00f3n mucho m\u00e1s joven, mientras que otras lo han envejecido prematuramente y son m\u00e1s propensas a sufrir enfermedades. As\u00ed que queremos averiguar cu\u00e1les son esos factores\".<\/span><\/p>\n

Aunque existen varios m\u00e9todos para analizar la salud del coraz\u00f3n, como esc\u00e1neres, ECG y lecturas de la tensi\u00f3n arterial, todos ellos est\u00e1n sujetos a limitaciones y, por lo general, s\u00f3lo detectan problemas y anomal\u00edas m\u00e1s graves. Incluso los problemas menores suelen pasar desapercibidos para los cardi\u00f3logos.\u00a0<\/span><\/p>\n

Como se\u00f1al\u00f3 el profesor O'Regan, esta IA pone al descubierto los \"golpes y rozaduras acumulados a lo largo de la vida, por el consumo de alcohol, tabaco, mala alimentaci\u00f3n y falta de ejercicio\".<\/span><\/p>\n

Tras someterse a una resonancia magn\u00e9tica despu\u00e9s de hacer ejercicio y realizar diversas acciones, el sistema de IA analiz\u00f3 el esc\u00e1ner de Ghosh. Lo compar\u00f3 con los datos de 5000 personas que llevaban una vida sana de forma sistem\u00e1tica.<\/span><\/p>\n

Los resultados de Ghosh fueron algo alentadores. La IA determin\u00f3 que su edad card\u00edaca era de 63 a\u00f1os, ligeramente superior a su edad real de 61 a\u00f1os.\u00a0<\/span><\/p>\n

En conversaci\u00f3n con el profesor O'Regan, Ghosh se pregunt\u00f3 si los recientes cambios positivos en su estilo de vida podr\u00edan haber contribuido a mitigar los efectos de sus anteriores h\u00e1bitos alimentarios. <\/span>\"No sabemos si el envejecimiento prematuro del coraz\u00f3n se debe a los genes y a que nacemos destinados a tener un coraz\u00f3n m\u00e1s viejo o si se debe m\u00e1s a nuestro estilo de vida\", respondi\u00f3 O'Regan.\u00a0<\/span><\/p>\n

Y a\u00f1adi\u00f3: \"Tampoco sabemos si el ritmo de envejecimiento puede modificarse o si podr\u00eda ser reversible, permitiendo a la gente volver a tener un coraz\u00f3n m\u00e1s joven si se aplica el tratamiento adecuado.\"<\/span><\/p>\n

Las primeras investigaciones se\u00f1alan los genes relacionados con la elasticidad muscular como factores influyentes en el envejecimiento del coraz\u00f3n.\u00a0<\/span><\/p>\n

Del mismo modo, se cree que tambi\u00e9n influyen ciertos genes relacionados con el sistema inmunitario, que pueden causar inflamaci\u00f3n involuntariamente si est\u00e1n demasiado activos.\u00a0<\/span>Se est\u00e1n investigando los genes que intervienen en el transporte de se\u00f1ales el\u00e9ctricas a trav\u00e9s del coraz\u00f3n, garantizando un latido constante.<\/span><\/p>\n

Equipados con un conocimiento m\u00e1s profundo de las influencias gen\u00e9ticas en el envejecimiento del coraz\u00f3n, el profesor O'Regan y su equipo pretenden producir nuevos tratamientos dirigidos, como \u00e9l mismo describe: \"La gen\u00e9tica podr\u00eda ayudarnos a ralentizar o invertir el envejecimiento, y estos esc\u00e1neres tambi\u00e9n podr\u00edan ayudar a evaluar nuevas terapias, para ver el impacto que est\u00e1 teniendo en el da\u00f1o\".<\/span><\/p>\n

C\u00f3mo funciona el sistema<\/span><\/h2>\n

El profesor O'Regan y su equipo llevan varios a\u00f1os desarrollando sistemas de diagn\u00f3stico cardiol\u00f3gico basados en IA.\u00a0<\/span><\/p>\n

He aqu\u00ed la culminaci\u00f3n de su trabajo:<\/span><\/p>\n

An\u00e1lisis de im\u00e1genes del coraz\u00f3n<\/span><\/h3>\n

El equipo de O'Regan est\u00e1 revolucionando la forma de ver el coraz\u00f3n utilizando el aprendizaje autom\u00e1tico (ML), en particular a trav\u00e9s del aprendizaje profundo.\u00a0<\/span><\/p>\n

Est\u00e1n desarrollando nuevas t\u00e9cnicas de an\u00e1lisis de conjuntos de datos de resonancia magn\u00e9tica cardiaca para comprender los complejos rasgos del coraz\u00f3n, como su funci\u00f3n, geometr\u00eda y caracter\u00edsticas tisulares.\u00a0<\/span><\/p>\n

Esto permite segmentar los movimientos del coraz\u00f3n y analizarlos de forma independiente.\u00a0<\/span><\/p>\n

Predicci\u00f3n de acontecimientos adversos\u00a0<\/span><\/h3>\n

El equipo tambi\u00e9n es pionero en el uso de la IA para predecir acontecimientos adversos en cardiopat\u00edas.\u00a0<\/span><\/p>\n

Mediante el uso de algoritmos de aprendizaje profundo que integran datos complejos, incluidos fenotipos de movimiento, gen\u00e9tica y variables cl\u00ednicas, est\u00e1n construyendo una comprensi\u00f3n m\u00e1s matizada de la insuficiencia card\u00edaca.\u00a0<\/span><\/p>\n

El objetivo es crear sistemas de razonamiento artificial para analizar e interpretar exploraciones card\u00edacas.\u00a0<\/span><\/p>\n

Relaci\u00f3n entre genes y cardiopat\u00edas<\/span><\/h3>\n

El grupo investiga por qu\u00e9 las cardiopat\u00edas se manifiestan de forma diferente en cada individuo explorando la conexi\u00f3n entre la gen\u00e9tica y el coraz\u00f3n. <\/span><\/p>\n

Intentan definir clases de miocardiopat\u00eda y descubrir el papel que desempe\u00f1an las variantes gen\u00e9ticas en la predisposici\u00f3n de las personas a determinadas afecciones cardiacas.\u00a0<\/span><\/p>\n

Identificaci\u00f3n de v\u00edas moleculares<\/span><\/h3>\n

Aprovechando el aprendizaje autom\u00e1tico, el equipo est\u00e1 llevando a cabo una investigaci\u00f3n a gran escala para encontrar genes a los que podr\u00edan dirigirse nuevos f\u00e1rmacos para reducir el riesgo de cardiopat\u00edas.<\/span><\/p>\n

El profesor O'Regan y su equipo han desarrollado varios programas inform\u00e1ticos y herramientas disponibles a trav\u00e9s de la <\/span>Proyecto Coraz\u00f3n Digital del Reino Unido GitHub<\/span><\/a>permitiendo a otros investigadores aprovechar sus m\u00e9todos.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Una innovadora herramienta de IA puede revelar c\u00f3mo opciones de estilo de vida como beber, fumar, la mala alimentaci\u00f3n y la inactividad pueden envejecer prematuramente el coraz\u00f3n. Esta IA ha sido desarrollada por un equipo dirigido por el profesor Declan O'Regan, del Instituto de Ciencias M\u00e9dicas de Londres del Consejo de Investigaci\u00f3n M\u00e9dica. El corresponsal cient\u00edfico de la BBC Pallab Ghosh, curioso por su propia salud cardiaca, se ofreci\u00f3 voluntario para experimentar esta evaluaci\u00f3n de vanguardia de la IA. El director del equipo, el profesor O'Regan, explic\u00f3 la importancia de la herramienta: \"Cuando miramos la cara de alguien, somos expertos en juzgar si parece joven o viejo para su edad; nuestros \u00f3rganos son iguales\".\u00a0<\/p>","protected":false},"author":2,"featured_media":4489,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[203,204,105,101],"class_list":["post-4485","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-biotech","tag-healthcare","tag-machine-learning","tag-medtech"],"yoast_head":"\nAI tool for diagnosing heart age is put to the test | DailyAI<\/title>\n<meta name=\"description\" content=\"An innovative AI tool can reveal how lifestyle choices like drinking, smoking, poor diet, and inactivity may age one's heart prematurely.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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