{"id":1988,"date":"2023-06-22T21:07:27","date_gmt":"2023-06-22T21:07:27","guid":{"rendered":"https:\/\/dailyai.com\/?p=1988"},"modified":"2023-06-22T21:41:39","modified_gmt":"2023-06-22T21:41:39","slug":"innovative-ai-model-detects-retinal-disease-in-infants","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/06\/innovative-ai-model-detects-retinal-disease-in-infants\/","title":{"rendered":"Un innovador modelo de inteligencia artificial detecta enfermedades de la retina en beb\u00e9s"},"content":{"rendered":"

La retinopat\u00eda del prematuro, una grave afecci\u00f3n ocular que afecta a los beb\u00e9s prematuros, es una de las principales causas de discapacidad visual y ceguera.\u00a0<\/b><\/p>\n

El tratamiento precoz puede mitigar los peores efectos de la retinopat\u00eda del prematuro, pero la escasez de oftalm\u00f3logos pedi\u00e1tricos, sobre todo en los pa\u00edses de renta baja y media, es un obst\u00e1culo importante.\u00a0<\/span><\/p>\n

En un estudio <\/span>publicado en The Lancet<\/span><\/a>Los investigadores desarrollaron un modelo de inteligencia artificial sin c\u00f3digo para diagnosticar la retinopat\u00eda del prematuro a partir de im\u00e1genes de la retina. <\/span><\/p>\n

Creen que el modelo ayudar\u00e1 a los oftalm\u00f3logos a diagnosticar la enfermedad desde cualquier lugar del mundo, ya que se ejecuta en Google Cloud y su funcionamiento requiere unos conocimientos t\u00e9cnicos m\u00ednimos.<\/span><\/p>\n

Acerca de la retinopat\u00eda del prematuro (ROP)<\/span><\/h2>\n

La retinopat\u00eda del prematuro es un crecimiento anormal de los vasos sangu\u00edneos de la retina que suele observarse en ni\u00f1os nacidos antes de la semana 31 de embarazo o con un peso inferior a un kilo.\u00a0<\/span><\/p>\n

Aunque la retinopat\u00eda del prematuro leve puede resolverse de forma independiente, los casos graves pueden provocar desprendimiento de retina, discapacidad visual y ceguera.<\/span><\/p>\n

Para diagnosticar la retinopat\u00eda del prematuro se utilizan varias caracter\u00edsticas retinianas, como la enfermedad plus, definida como la tortuosidad anormal de los vasos sangu\u00edneos de la retina. \"La presencia de la enfermedad plus se considera un marcador de retinopat\u00eda que requiere tratamiento\", explican los investigadores del estudio. <\/span>El cribado rutinario por parte de oftalm\u00f3logos pedi\u00e1tricos puede ayudar a prevenir la progresi\u00f3n de la retinopat\u00eda del prematuro.<\/span><\/p>\n

Estudios anteriores<\/span> ya han demostrado que los modelos de IA pueden diagnosticar con precisi\u00f3n la retinopat\u00eda del prematuro grave a partir del an\u00e1lisis de im\u00e1genes de la retina.\u00a0<\/span>Sin embargo, la mayor\u00eda de estos modelos requieren conocimientos t\u00e9cnicos y recursos de hardware sustanciales, que escasean en algunos entornos m\u00e9dicos.\u00a0<\/span><\/p>\n

Un modelo de IA accesible y sin c\u00f3digo resuelve estos retos, permitiendo a los oftalm\u00f3logos acceder a diagn\u00f3sticos retinianos de vanguardia desde cualquier lugar con conexi\u00f3n a Internet.<\/p>\n

El papel de la IA<\/span><\/h2>\n

El estudio compara un modelo de IA sin c\u00f3digo construido sobre la interfaz de programaci\u00f3n de aplicaciones (API) de Google Cloud AutoML Vision y un modelo a medida construido desde cero. <\/span><\/p>\n

\"La aplicaci\u00f3n de IA sin c\u00f3digo se desarroll\u00f3 utilizando im\u00e1genes de reci\u00e9n nacidos de or\u00edgenes \u00e9tnicos y socioecon\u00f3micos diversos en un hospital del Reino Unido\", describen los investigadores.<\/span><\/p>\n

Dado que se ejecuta en Google Cloud AutoML, el modelo requiere unos conocimientos t\u00e9cnicos m\u00ednimos y ning\u00fan hardware, salvo una conexi\u00f3n a Internet: basta con introducir las im\u00e1genes de la retina en el modelo preentrenado.<\/span><\/p>\n

El estudio concluy\u00f3 que el modelo Google Cloud AutoML sin c\u00f3digo funcionaba de forma similar al modelo a medida, con una precisi\u00f3n similar a la de los oftalm\u00f3logos expertos en la detecci\u00f3n de la enfermedad plus.<\/span><\/p>\n

Uno de los autores, el Dr. Konstantinos Balaskas, profesor asociado del University College de Londres, dijo<\/a>Dado que es detectable y tratable, ning\u00fan ni\u00f1o deber\u00eda quedarse ciego por retinopat\u00eda del prematuro. Esperamos que nuestra t\u00e9cnica para automatizar el diagn\u00f3stico de la retinopat\u00eda del prematuro mejore el acceso a la atenci\u00f3n en zonas desatendidas y evite la ceguera de miles de reci\u00e9n nacidos en todo el mundo.\"<\/span><\/p>\n

El Dr. Deepak Bhatt, MPH, director del Mount Sinai Heart de Nueva York, elogi\u00f3 el estudio: \"Se trata de un estudio inteligente que muestra una aplicaci\u00f3n potencialmente muy \u00fatil de la inteligencia artificial. Los autores demostraron que su programa de IA funcionaba tan bien como los oftalm\u00f3logos expertos a la hora de identificar una de las principales causas de ceguera infantil mediante el examen de im\u00e1genes de la retina.\"<\/span><\/p>\n

Bhatt destac\u00f3 el potencial de la IA en la atenci\u00f3n sanitaria: \"El aprendizaje autom\u00e1tico y la IA han dejado de ser ciencia ficci\u00f3n para convertirse en una posible utilidad en la pr\u00e1ctica cl\u00ednica. Este estudio es un buen ejemplo de ello. Se necesitan m\u00e1s estudios como este en poblaciones diversas\".<\/span><\/p>\n

Los modelos sin c\u00f3digo basados en la nube est\u00e1n a disposici\u00f3n de cualquier persona con conexi\u00f3n a Internet. <\/span><\/p>\n

No hay requisitos de hardware y el modelo est\u00e1 preentrenado, por lo que s\u00f3lo se necesita una entrada (en este caso, im\u00e1genes de la retina).\u00a0<\/span><\/p>\n

Los investigadores admiten que el modelo se prob\u00f3 principalmente con im\u00e1genes tomadas con Retcam, un tipo espec\u00edfico de c\u00e1mara retiniana que suele ser cara. <\/span><\/p>\n

Sin embargo, con trabajo, podr\u00eda ampliarse a otras im\u00e1genes retinianas, ayudando a los profesionales sanitarios a acceder a diagn\u00f3sticos retinianos de vanguardia desde cualquier parte del mundo. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

La retinopat\u00eda del prematuro, una grave afecci\u00f3n ocular que afecta a los beb\u00e9s prematuros, es una de las principales causas de discapacidad visual y ceguera. El tratamiento precoz puede mitigar los peores efectos de la retinopat\u00eda del prematuro, pero la escasez de oftalm\u00f3logos pedi\u00e1tricos, sobre todo en los pa\u00edses de renta baja y media, es un obst\u00e1culo importante. En un estudio publicado en The Lancet, los investigadores han desarrollado un modelo de inteligencia artificial sin c\u00f3digo para diagnosticar la retinopat\u00eda del prematuro a partir de im\u00e1genes de la retina. Creen que el modelo ayudar\u00e1 a los oftalm\u00f3logos a diagnosticar la enfermedad desde cualquier lugar del mundo, ya que se ejecuta en Google Cloud y su funcionamiento requiere unos conocimientos t\u00e9cnicos m\u00ednimos. Acerca de la retinopat\u00eda del prematuro (ROP) La ROP es un crecimiento anormal de la sangre<\/p>","protected":false},"author":2,"featured_media":1989,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,101],"class_list":["post-1988","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-medtech"],"yoast_head":"\nInnovative AI model detects retinal disease in infants | DailyAI<\/title>\n<meta name=\"description\" content=\"Retinopathy of prematurity (ROP), a severe eye condition affecting premature babies, is a leading cause of visual impairment or blindness.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2023\/06\/innovative-ai-model-detects-retinal-disease-in-infants\/\" 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