{"id":72102,"date":"2024-02-02T18:39:49","date_gmt":"2024-02-02T21:39:49","guid":{"rendered":"https:\/\/abes.org.br\/?p=72102"},"modified":"2024-02-02T18:39:49","modified_gmt":"2024-02-02T21:39:49","slug":"inovahc-e-aws-anunciam-novo-laboratorio-de-ia-generativa","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/inovahc-e-aws-anunciam-novo-laboratorio-de-ia-generativa\/","title":{"rendered":"InovaHC and AWS announce new generative AI laboratory"},"content":{"rendered":"

Strategic collaboration is developing its first solution: a tool that helps in the preparation of radiological reports using Artificial Intelligence.<\/p>\n

\"\"

Giovanni Guido Cerri, director of InRad, professor and advisor at the Faculty of Medicine of USP (HCFMUSP). (Photo: Disclosure)<\/p><\/div>\n

InovaHC, the technological innovation center at Hospital das Cl\u00ednicas at FMUSP, and Amazon Web Services (AWS) today signed an agreement to create a generative AI Laboratory. The laboratory will be an interdisciplinary space that will bring together researchers, students and entrepreneurs to explore a range of applications, develop solutions, guide and coordinate research. The objective is to create applications that promote greater efficiency in public health diagnostic processes.<\/p>\n

The laboratory's first project wants to transform the way radiological reports are created. Named GAL (Adaptive Report Generator), the tool allows the automatic structuring of radiological reports, taking into account the patient's history, in an agile and accurate way. The first phase of GAL involves the use of language models to construct a summary with patient information relevant to a given exam, facilitating the structuring of reports by the radiology team. With the application, a reduction in the time spent by the radiologist in accessing the information necessary to analyze the images is expected, bringing more efficiency to the process of delivering the diagnosis.<\/p>\n

Generative AI is powered by machine learning models, which are pre-trained on extensive datasets. The system will read and analyze patient information and write documents that will be reviewed by the doctor, indicating points of attention, thus saving time, efficiency and standardization in format.<\/p>\n

The project is carried out with support from the clinical directorate of the Institute of Radiology of the Hospital das Cl\u00ednicas of FMUSP (InRad).<\/p>\n

\u201cWe know the challenge of incorporating high technology into the healthcare flow, and the project has several validation and testing phases. The expectation is that we can use this reporting model in other hospitals in Brazil\u201d, says Giovanni Guido Cerri, director of InRad, professor and senior advisor at the Faculty of Medicine of USP (HCFMUSP). The initiative also has the support of Deloitte.<\/p>\n

\u201cAI has been a significant area of focus for Amazon for more than 20 years, and AWS is democratizing access to base models and generative AI and giving customers what they need to build their own projects. It is a technology with the potential to revolutionize medicine and healthcare, offering innovative solutions for diagnosis, treatment and research in the field. We are joining efforts with the largest hospital complex in Latin America to build artificial intelligence solutions that enable a significant improvement in patient care and public health efficiency in Brazil\u201d, says Paulo Cunha, general director for the public sector at AWS in Brazil.<\/p>","protected":false},"excerpt":{"rendered":"

Colabora\u00e7\u00e3o estrat\u00e9gica est\u00e1 desenvolvendo sua primeira solu\u00e7\u00e3o: uma ferramenta que auxilia na elabora\u00e7\u00e3o de laudos radiol\u00f3gicos com uso de Intelig\u00eancia Artificial. O InovaHC, n\u00facleo de inova\u00e7\u00e3o tecnol\u00f3gica do Hospital das Cl\u00ednicas da FMUSP, e a Amazon Web Services (AWS) celebraram hoje um acordo para a cria\u00e7\u00e3o de um Laborat\u00f3rio de IA generativa. O laborat\u00f3rio ser\u00e1 […]<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[39,19],"tags":[5103,5102,5105,5104],"class_list":["post-72102","post","type-post","status-publish","format-standard","hentry","category-coluna-4","category-ultimas-noticias","tag-laboratorio-de-ia-generativa","tag-laudos-radiologicos","tag-modelos-de-machine-learning","tag-saude-publica"],"acf":[],"yoast_head":"\nInovaHC e AWS anunciam novo laborat\u00f3rio de IA generativa - ABES<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/abes.org.br\/en\/inovahc-e-aws-anunciam-novo-laboratorio-de-ia-generativa\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"InovaHC e AWS anunciam novo laborat\u00f3rio de IA generativa - ABES\" \/>\n<meta property=\"og:description\" content=\"Colabora\u00e7\u00e3o estrat\u00e9gica est\u00e1 desenvolvendo sua primeira solu\u00e7\u00e3o: uma ferramenta que auxilia na elabora\u00e7\u00e3o de laudos radiol\u00f3gicos com uso de Intelig\u00eancia Artificial. 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