{"id":26702,"date":"2022-05-26T10:01:06","date_gmt":"2022-05-26T15:01:06","guid":{"rendered":"https:\/\/saluddigital.com\/?p=26702"},"modified":"2025-10-20T11:53:09","modified_gmt":"2025-10-20T17:53:09","slug":"medicos-en-reino-unido-utilizan-inteligencia-artificial-para-detectar-pacientes-con-mayores-riesgos-durante-cirugia","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/medicos-en-reino-unido-utilizan-inteligencia-artificial-para-detectar-pacientes-con-mayores-riesgos-durante-cirugia\/","title":{"rendered":"Doctors in the UK use Artificial Intelligence to detect patients at higher risk during surgery"},"content":{"rendered":"
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Two surgeons from the UK National Health Service (NHS) use the Azure AI tool to detect patients at risk in surgeries.<\/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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Due to the COVID-19 pandemic, the NHS suffered serious failures in the immediate care of patients. The shortage of personnel and the suspension of activities in various departments caused that, in May 2020, 2.3 million people were added to the waiting list for treatment.<\/p>

Faced with this problem, the NHS began to invest in Artificial Intelligence (AI), to address the delay in medical care. In this way, thanks to an investment of 44 billion dollars, the United Kingdom has begun to adopt AI to implement virtual rooms and surgical centers that work through this technology.<\/p>

In addition to reducing waiting times, AI applied to the NHS seeks to support the recommendations of medical teams, to provide higher quality information to patients and make better decisions.<\/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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Orthopedic surgeons Justin Green and Mike Reed created an AI model that helps specialists provide their patients with a personalized risk assessment for hip or knee operations. I hope this technology will give me a better indication of what was going to happen to those people,\u201d explains Reed.<\/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

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The AI model used is hosted in the cloud and uses Microsoft's Azure services. Through this panel, doctors can learn why the AI reaches the conclusion shown.<\/p>

Reed and Green use AI to analyze and predict results and the risk of hip or knee surgery. However, specialists accept that it can not only be applied in orthopedics, since its model can be transferred to other types of surgeries.<\/p>

\u201cWe have already had interest from several organizations. An NHS trust wants to run a pilot because one of its hospitals has 10,000 people on its waiting list. They want to know if they can offer surgery in a smaller hospital to people at low risk of complications, such as strokes and heart attacks. At the moment, those patients may have to wait a long time to be available at a larger hospital,\u201d explains Reed.<\/p>

Thanks to the AI model, data such as age, blood parameters, BMI, medical history, can be used to the full, since through them it can show the prediction of a surgical intervention.<\/p>

On the other hand, Sarah Bird, product manager at Microsoft, explains that "the responsible AI dashboard brings together a lot of tools and that's really useful for an industry like healthcare, which has to make sure there's no significant errors in its AI model and why it makes a particular decision,\u201d he says. \u201cThe tools allow teams to govern their AI more effectively and help them use it responsibly.\u201d<\/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

MICROSOFT<\/strong><\/p>

https:\/\/news.microsoft.com\/es-xl\/features\/dos-cirujanos-del-nhs-utilizan-azure-ai-para-detectar-pacientes-que-enfrentan-mayores-riesgos-durante-la-cirugia\/<\/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":"

Dos cirujanos del Servicio Nacional de Salud de Reino Unido (NHS), utilizan la herramienta Azure AI, para la detecci\u00f3n de pacientes de riego en cirug\u00edas. Debido a la pandemia de COVID-19, el NHS, sufri\u00f3 graves fallos en la atenci\u00f3n inmediata a pacientes. La escasez de personal y la suspensi\u00f3n de actividades en diversos departamentos, provocaron que, en mayo de 2020, sumaran 2.3 millones de personas a la lista de espera por tratamiento. Ante esta problem\u00e1tica el NHS comenz\u00f3 a invertir en Inteligencia Artificial (IA), para abordar el retraso en la atenci\u00f3n m\u00e9dica. De esta forma, gracias a una inversi\u00f3n de 44 mil millones de d\u00f3lares, el Reino Unido ha comenzado a adoptar la IA para implementar salas virtuales y centros quir\u00fargicos que funcionan a trav\u00e9s de esta tecnolog\u00eda. La IA aplicada en el NHS busca adem\u00e1s de reducir los tiempos de espera, respaldar las recomendaciones de equipos de m\u00e9dicos, para brindar informaci\u00f3n de mayor calidad a los pacientes y tomar mejores decisiones. Los cirujanos ortop\u00e9dicos Justin Green y Mike Reed, crearon un modelo de IA, que ayuda a especialistas a brindar a sus pacientes una evaluaci\u00f3n de riesgo personalizada en operaciones de cadera o rodilla.  Espero que esta tecnolog\u00eda me d\u00e9 una mejor indicaci\u00f3n de lo que les iba a pasar a esas personas\u201d, explica Reed. El modelo de IA utilizado est\u00e1 alojado en la nube y utiliza los servicios de Azure de Microsoft, a trav\u00e9s de este panel los m\u00e9dicos pueden conocer porqu\u00e9 la IA llega a la conclusi\u00f3n mostrada. Reed y Green, utilizan la IA para analizar y predecir resultados y el riesgo que lleva una cirug\u00eda ya sea de cadera o de rodilla. No obstante, los especialistas aceptan que no solo puede aplicarse en la ortopedia, pues su modelo puede ser transferido a otro tipo de cirug\u00edas. \u201cYa hemos tenido inter\u00e9s de varias organizaciones. Un fideicomiso del NHS quiere ejecutar un piloto porque uno de sus hospitales tiene 10 mil personas en su lista de espera. Quieren saber si pueden ofrecer cirug\u00eda en un hospital m\u00e1s peque\u00f1o a personas con bajo riesgo de sufrir complicaciones, como accidentes cerebrovasculares y ataques card\u00edacos. Por el momento, es posible que esos pacientes tengan que esperar mucho tiempo para estar disponibles en un hospital m\u00e1s grande\u201d, explica Reed. Gracias al modelo de IA, los datos como edad, par\u00e1metros sangu\u00edneos, IMC, historial m\u00e9dico, puede aprovecharse al m\u00e1ximo, ya que a trav\u00e9s de ellos puede mostrar la predicci\u00f3n de una intervenci\u00f3n quir\u00fargica. Por otra parte, Sarah Bird, responsable de productos en Microsoft, explica que \u201cel panel de control de IA responsable re\u00fane muchas herramientas y eso es en verdad \u00fatil para un sector como el de la atenci\u00f3n m\u00e9dica, que tiene que asegurarse de que no haya errores significativos en su modelo de IA y por qu\u00e9 toma una decisi\u00f3n particular\u201d, dice. \u201cLas herramientas permiten a los equipos gobernar su IA de manera m\u00e1s efectiva y ayudarlos a usarla de manera responsable\u201d. BIBLIOGRAF\u00cdA MICROSOFT https:\/\/news.microsoft.com\/es-xl\/features\/dos-cirujanos-del-nhs-utilizan-azure-ai-para-detectar-pacientes-que-enfrentan-mayores-riesgos-durante-la-cirugia\/<\/p>","protected":false},"author":1,"featured_media":26704,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3400,160],"tags":[145],"class_list":["post-26702","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-diagnostico","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/26702","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=26702"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/26702\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/26704"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=26702"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=26702"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=26702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}