FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | preprint |
Idioma: | eng |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/5650 |
Resumo: | The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment, and prevention measures have increased over the years. The purpose is to gather the most medical knowledge to construct an orientation for practice. Evidence-based guidelines follow several of the main characteristics of a systematic review, including systematic and unbiased search, selection, and extraction of the source of evidence. In recent years, the rapid advancement of artificial intelligence (AI) has provided clinicians and patients with access to personalized, data-driven insights, support and new opportunities for healthcare professionals to improve patient outcomes, increase efficiency, and reduce costs. One of the most exciting developments in AI has been the emergence of chatbots. A chatbot is a computer program to simulate conversation with human users. Recently, OpenAI, a research organization focused on machine learning, developed ChatGPT, a large language model that generates human-like text. ChatGPT uses a type of AI known as a deep learning model. ChatGPT can quickly search and select pieces of evidence through numerous databases to provide answers to complex questions, reducing the time and effort required to research a particular topic manually. Consequently, language models can accelerate the creation of clinical practice guidelines. While there is no doubt that ChatGPT has the potential to revolutionize the way healthcare is delivered, it is essential to note that it should not be used as a substitute for human healthcare professionals. Instead, ChatGPT should be seen as a tool that can be used to augment and support the work of healthcare professionals, helping them to provide better care to their patients. |
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FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPTFuturo dos modelos de linguagem nos cuidados em saúde: o papel do ChatGPT: Guias como AssuntoInteligência ArtificialDiagnósticoCustos e Análise de CustosAtenção à SaúdeGuidelines as TopicArtificial IntelligencyDiagnosisCosts and Cost AnalysisDelivery of Health CareThe field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment, and prevention measures have increased over the years. The purpose is to gather the most medical knowledge to construct an orientation for practice. Evidence-based guidelines follow several of the main characteristics of a systematic review, including systematic and unbiased search, selection, and extraction of the source of evidence. In recent years, the rapid advancement of artificial intelligence (AI) has provided clinicians and patients with access to personalized, data-driven insights, support and new opportunities for healthcare professionals to improve patient outcomes, increase efficiency, and reduce costs. One of the most exciting developments in AI has been the emergence of chatbots. A chatbot is a computer program to simulate conversation with human users. Recently, OpenAI, a research organization focused on machine learning, developed ChatGPT, a large language model that generates human-like text. ChatGPT uses a type of AI known as a deep learning model. ChatGPT can quickly search and select pieces of evidence through numerous databases to provide answers to complex questions, reducing the time and effort required to research a particular topic manually. Consequently, language models can accelerate the creation of clinical practice guidelines. While there is no doubt that ChatGPT has the potential to revolutionize the way healthcare is delivered, it is essential to note that it should not be used as a substitute for human healthcare professionals. Instead, ChatGPT should be seen as a tool that can be used to augment and support the work of healthcare professionals, helping them to provide better care to their patients.A área da medicina sempre esteve na vanguarda da inovação tecnológica, buscando constantemente novas estratégias para diagnosticar, tratar e prevenir doenças. As diretrizes para a prática clínica são para orientar as equipes médicas quanto ao diagnóstico, tratamento e medidas de prevenção aumentaram ao longo dos anos. O objetivo é reunir o máximo de conhecimento médico para construir uma orientação para a prática. As diretrizes baseadas em evidências seguem várias das principais características de uma revisão sistemática, incluindo busca sistemática e imparcial, seleção e extração da fonte de evidência. Nos últimos anos, o rápido avanço da inteligência artificial (IA) forneceu aos médicos e pacientes acesso a informações personalizadas e baseadas em dados, suporte e novas oportunidades para os profissionais de saúde melhorarem os resultados dos pacientes, aumentarem a eficiência e reduzirem custos. Um dos desenvolvimentos mais empolgantes da IA foi o surgimento dos chatbots. Um chatbot é um programa de computador para simular conversas com usuários humanos. Recentemente, a OpenAI, uma organização de pesquisa focada em aprendizado de máquina, desenvolveu o ChatGPT, um grande modelo de linguagem que gera texto semelhante ao humano. O ChatGPT usa um tipo de IA conhecido como modelo de aprendizado profundo. O ChatGPT pode pesquisar e selecionar rapidamente evidências em vários bancos de dados para fornecer respostas a perguntas complexas, reduzindo o tempo e o esforço necessários para pesquisar um tópico específico manualmente. Consequentemente, os modelos de linguagem podem acelerar a criação de diretrizes de prática clínica. Embora não haja dúvida de que o ChatGPT tem potencial para revolucionar a forma como os cuidados de saúde são prestados, é essencial observar que não deve ser usado como substituto de profissionais de saúde humanos. Em vez disso, o ChatGPT deve ser visto como uma ferramenta que pode ser usada para aumentar e apoiar o trabalho dos profissionais de saúde, ajudando-os a prestar melhores cuidados aos seus pacientes.SciELO PreprintsSciELO PreprintsSciELO Preprints2023-02-28info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/565010.1590/0102-672020230002e171enghttps://preprints.scielo.org/index.php/scielo/article/view/5650/10861Copyright (c) 2023 Francisco Tustumi; Nelson Adami Andreollo; José Eduardo de Aguilar-Nascimentohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTustumi, FranciscoAndreollo, Nelson AdamiAguilar-Nascimento, José Eduardo dereponame:SciELO Preprintsinstname:Scientific Electronic Library Online (SCIELO)instacron:SCI2023-02-28T13:48:39Zoai:ops.preprints.scielo.org:preprint/5650Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2023-02-28T13:48:39SciELO Preprints - Scientific Electronic Library Online (SCIELO)false |
dc.title.none.fl_str_mv |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT Futuro dos modelos de linguagem nos cuidados em saúde: o papel do ChatGPT |
title |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT |
spellingShingle |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT Tustumi, Francisco : Guias como Assunto Inteligência Artificial Diagnóstico Custos e Análise de Custos Atenção à Saúde Guidelines as Topic Artificial Intelligency Diagnosis Costs and Cost Analysis Delivery of Health Care |
title_short |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT |
title_full |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT |
title_fullStr |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT |
title_full_unstemmed |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT |
title_sort |
FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT |
author |
Tustumi, Francisco |
author_facet |
Tustumi, Francisco Andreollo, Nelson Adami Aguilar-Nascimento, José Eduardo de |
author_role |
author |
author2 |
Andreollo, Nelson Adami Aguilar-Nascimento, José Eduardo de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Tustumi, Francisco Andreollo, Nelson Adami Aguilar-Nascimento, José Eduardo de |
dc.subject.por.fl_str_mv |
: Guias como Assunto Inteligência Artificial Diagnóstico Custos e Análise de Custos Atenção à Saúde Guidelines as Topic Artificial Intelligency Diagnosis Costs and Cost Analysis Delivery of Health Care |
topic |
: Guias como Assunto Inteligência Artificial Diagnóstico Custos e Análise de Custos Atenção à Saúde Guidelines as Topic Artificial Intelligency Diagnosis Costs and Cost Analysis Delivery of Health Care |
description |
The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment, and prevention measures have increased over the years. The purpose is to gather the most medical knowledge to construct an orientation for practice. Evidence-based guidelines follow several of the main characteristics of a systematic review, including systematic and unbiased search, selection, and extraction of the source of evidence. In recent years, the rapid advancement of artificial intelligence (AI) has provided clinicians and patients with access to personalized, data-driven insights, support and new opportunities for healthcare professionals to improve patient outcomes, increase efficiency, and reduce costs. One of the most exciting developments in AI has been the emergence of chatbots. A chatbot is a computer program to simulate conversation with human users. Recently, OpenAI, a research organization focused on machine learning, developed ChatGPT, a large language model that generates human-like text. ChatGPT uses a type of AI known as a deep learning model. ChatGPT can quickly search and select pieces of evidence through numerous databases to provide answers to complex questions, reducing the time and effort required to research a particular topic manually. Consequently, language models can accelerate the creation of clinical practice guidelines. While there is no doubt that ChatGPT has the potential to revolutionize the way healthcare is delivered, it is essential to note that it should not be used as a substitute for human healthcare professionals. Instead, ChatGPT should be seen as a tool that can be used to augment and support the work of healthcare professionals, helping them to provide better care to their patients. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/5650 10.1590/0102-672020230002e171 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/5650 |
identifier_str_mv |
10.1590/0102-672020230002e171 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/5650/10861 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Francisco Tustumi; Nelson Adami Andreollo; José Eduardo de Aguilar-Nascimento https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Francisco Tustumi; Nelson Adami Andreollo; José Eduardo de Aguilar-Nascimento https://creativecommons.org/licenses/by/4.0 |
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openAccess |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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