{"id":23025,"date":"2021-12-10T08:46:55","date_gmt":"2021-12-10T14:46:55","guid":{"rendered":"https:\/\/saluddigital.com\/?p=23025"},"modified":"2025-10-21T11:22:26","modified_gmt":"2025-10-21T17:22:26","slug":"compania-de-computacion-lanza-software-de-codigo-abierto-de-inteligencia-artificial-para-la-atencion-medica","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/compania-de-computacion-lanza-software-de-codigo-abierto-de-inteligencia-artificial-para-la-atencion-medica\/","title":{"rendered":"Computer Company Releases Open Source Artificial Intelligence Software for Healthcare"},"content":{"rendered":"
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NVIDIA, a company of American origin, specialized in computing and development of graphics processors, launched the open source software NVIDIA FLARE, which allows the development of Artificial Intelligence (AI) models for medical care.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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NVIDIA FLARE (Federated Learning Application Runtime Environment), has another software called NVIDIA Clara Train, which has been used to develop AI models for medical image analysis, genetic analysis, oncology, and COVID-19 research. This development provides more tools for researchers and scientists who develop AI platforms to customize their solutions.<\/p>

This initiative uses a technique called federated learning, which has the purpose of preserving data privacy and confidentiality.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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NVIDIA FLARE has been applied in various AI projects, such as MONAI, an open source software designed for medical image analysis. \u201cNVIDIA FLARE open source to accelerate federated learning research is especially important in healthcare, where access to multi-institutional datasets is crucial, but patient privacy concerns can limit the ability to share data. \u201d, explained Dr. Jayashree Kalapathy, associate professor of radiology at Harvard Medical School, and MONAI task leader.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The NVIDIA project contemplates driving AI learning solutions at the American College of Radiology (ACR). Where AI-based federated learning studies have already worked for the study of radiological images of breast cancer.<\/p>

On the other hand, it will also be applied in Rhino Health, a company specialized in AI applications in health and that participates in a project with the Massachusetts General Hospital on the diagnosis of brain aneurysms. \u201cTo collaborate effectively and efficiently, health researchers need a common platform for AI development without the risk of violating patient privacy,\u201d explained its founder, Dr. Ittai Dayan. In addition, he recognized the use of federated learning techniques as a useful tool to accelerate the impact of AI in healthcare.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

AIMED<\/strong><\/p>

https:\/\/ai-med.io\/more-news\/nvidia-brings-collaborative-ai-to-healthcare\/<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

NVIDIA, compa\u00f1\u00eda de origen estadounidense, especializada en computaci\u00f3n y desarrollo de procesadores gr\u00e1ficos, lanz\u00f3 el software de c\u00f3digo abierto NVIDIA FLARE, que permite desarrollar modelos de Inteligencia Artificial (IA) para la atenci\u00f3n m\u00e9dica. NVIDIA FLARE (Federated Learning Application Runtime Environment), cuenta con otro software llamado NVIDIA Clara Train, que ha sido utilizado para desarrollar modelos de IA para el an\u00e1lisis de im\u00e1genes m\u00e9dicas, an\u00e1lisis gen\u00e9tico, oncolog\u00eda e investigaci\u00f3n de COVID-19. Este desarrollo brinda m\u00e1s herramientas para investigadores y cient\u00edficos que desarrollen plataformas de IA, puedan personalizar sus soluciones. Esta iniciativa utiliza una t\u00e9cnica llamada aprendizaje federado, la cual tiene como prop\u00f3sito la preservaci\u00f3n de la privacidad y la confidencialidad de los datos. NVIDIA FLARE, ha sido aplicado en diversos proyectos de IA, como MONAI, un software de c\u00f3digo abierto dise\u00f1ado para el an\u00e1lisis de im\u00e1genes m\u00e9dicas. \u201cEl c\u00f3digo abierto de NVIDIA FLARE para acelerar la investigaci\u00f3n del aprendizaje federado es especialmente importante en el sector de la salud, donde el acceso a conjuntos de datos multiinstitucionales es crucial, pero las preocupaciones sobre la privacidad del paciente pueden limitar la capacidad de compartir datos\u201d, explic\u00f3 el Dr. Jayashree Kalapathy, profesor asociado de radiolog\u00eda en la Escuela de Medicina de Harvard, y l\u00edder de trabajo de MONAI. El proyecto de NVIDIA contempla impulsar soluciones de aprendizaje en IA en el American College of Radiology (ACR). Donde ya han trabajado estudios de aprendizaje federado basados en IA para el estudio de im\u00e1genes radiol\u00f3gicas de c\u00e1ncer de mama. Por otra parte, tambi\u00e9n ser\u00e1 aplicado en Rhino Health, compa\u00f1\u00eda especializada en aplicaciones de la IA en salud y que participa en un proyecto con el Hospital General de Massachusetts sobre diagn\u00f3stico de aneurismas cerebrales. “Para colaborar de manera eficaz y eficiente, los investigadores de la salud necesitan una plataforma com\u00fan para el desarrollo de la inteligencia artificial sin el riesgo de violar la privacidad del paciente”, explic\u00f3 su fundador, el Dr. Ittai Dayan. Adem\u00e1s, reconoci\u00f3 la utilizaci\u00f3n de t\u00e9cnicas de aprendizaje federado como una herramienta \u00fatil para acelerar el impacto de la IA en la atenci\u00f3n m\u00e9dica. BIBLIOGRAF\u00cdA AIMED https:\/\/ai-med.io\/more-news\/nvidia-brings-collaborative-ai-to-healthcare\/<\/p>","protected":false},"author":1,"featured_media":23026,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393,160],"tags":[145],"class_list":["post-23025","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/23025","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=23025"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/23025\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/23026"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=23025"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=23025"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=23025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}