FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT

Detalhes bibliográficos
Autor(a) principal: Tustumi, Francisco
Data de Publicação: 2023
Outros Autores: Andreollo, Nelson Adami, Aguilar-Nascimento, José Eduardo de
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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spelling 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
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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
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
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SciELO Preprints
SciELO Preprints
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