Enchancing proactive patient outreach with medical message classification using synthetic data from ChatGPT

Abstract: The increasing demand for proactive patient outreach and follow-up within health insurance providers and large hospital systems has led to the adoption of automated message classification systems. Although state-of-the-art tools like Azure and OpenAI o1 series are available, their costs are prohibitive for small companies. Therefore, using cost-effective traditional Leia mais…

Enchancing proactive patient outreach with medical message classification using synthetic data from ChatGPT

Abstract: The increasing demand for proactive patient outreach and follow-up within health insurance providers and large hospital systems has led to the adoption of automated message classification systems. Although state-of-the-art tools like Azure and OpenAI o1 series are available, their costs are prohibitive for small companies. Therefore, using cost-effective traditional Leia mais…

Materi.A. Centro de Desenvolvimento de Materiais Avançados assistido por I.A.: Inteligência Artificial acelerando a inovação em novos materiais

Referência: MORAES, Sandra Lúcia de; VIRÍSSIMO, Denis Bruno; SILVA, André Luiz Nunes; DOMINGUES, Maria Cristina Machado. Materi.A. Centro de Desenvolvimento de Materiais Avançados assistidos por I.A.: Inteligência Artificial acelerandoa iknovação dem novos materiais. In: ENCONTRO INTERDISCIPLINAR INTERINSTITUCIONAL EM CIÊNCIAS E ENGENHARIA, 10., EI2CE, 2025, Salvador, SENAI CIMATEC. Palestra… Acesso aos Leia mais…

Identificação de feições geológicas em dados sísmicos por meio de inteligência artificial: estado da prática, parte II

Referência: GAMBA, Carlos Tadeu de Carvalho; SAAR, Hugo Ferreira; GUIRELI NETO, Leonides; GANDOLFO, Otávio Coaracy Brasil; VIRISSIMO, Denis Bruno; HELENO, Aline Fernandes; SILVA, Celso Luciano Alves da; SILVA, Cristina Maria Ferreira da; SALES, Elisa Morande; SILLES, Felipe Silva; CUSTÓDIO, Gustavo Torres; GUERRA, Ney Ferreira de Souza; AOYAGI, Thiago Yuji. Identificação Leia mais…

Identificação de feições geológicas em dados sísmicos por meio de inteligência artificial: estado da prática, parte I

Referência: GAMBA, Carlos Tadeu de Carvalho; SAAR, Hugo Ferreira; GUIRELI NETO, Leonides; GANDOLFO, Otávio Coaracy Brasil; VIRÍSSIMO, Denis Bruno; HELENO, Aline Fernandes; SILVA, Celso Luciano Alves da; SILVA, Cristina Maria Ferreira da; SALES, Elisa Morande; SILLES, Felipe Silva; CUSTÓDIO, Gustavo Torres; GUERRA, Ney Ferreira de Souza; AOYAGI, Thiago Yuji. Identificação Leia mais…

An anti-money laudering approach for the Brazilian smart contrat: digital currency (DREX) plataform

Abstract: Recent advancements in anti-money laundering (AML) strategies and the emergence of new government smart contract platforms underscore the need for more accurate and efficient detection systems. This paper proposes a robust approach to significantly reduce false positive alerts utilizing machine learning (ML) to enhance the AML framework within the Leia mais…

Enhancing anti-money laudering protocols: empoying machine learning to minimize false positives and improve operational cost efficiency

Abstract: Recent advancements in anti-money laundering (AML) strategies underscore the imperative for more accurate and efficient detection systems. This paper delineates a robust approach utilising machine learning (ML) and artificial intelligence (AI) to refine AML frameworks within national financial institutions, reducing false positive alerts. Integrating data from ‘Know Your Customer’ Leia mais…

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