Published: Dec. 16, 2024
Language: Английский
Information, Journal Year: 2024, Volume and Issue: 15(2), P. 99 - 99
Published: Feb. 8, 2024
GPT (Generative Pre-trained Transformer) represents advanced language models that have significantly reshaped the academic writing landscape. These sophisticated offer invaluable support throughout all phases of research work, facilitating idea generation, enhancing drafting processes, and overcoming challenges like writer’s block. Their capabilities extend beyond conventional applications, contributing to critical analysis, data augmentation, design, thereby elevating efficiency quality scholarly endeavors. Strategically narrowing its focus, this review explores alternative dimensions LLM specifically augmentation generation synthetic for research. Employing a meticulous examination 412 works, it distills selection 77 contributions addressing three questions: (1) on Generating Research data, (2) Data Analysis, (3) Design. The systematic literature adeptly highlights central focus encapsulating 48 pertinent contributions, extends proactive role in analysis shaping design. Pioneering comprehensive classification framework “GPT’s use Data”, study classifies existing into six categories 14 sub-categories, providing profound insights multifaceted applications data. This meticulously compares 54 pieces literature, evaluating domains, methodologies, advantages disadvantages, scholars with crucial seamless integration across diverse their pursuits.
Language: Английский
Citations
33
ChemBioChem, Journal Year: 2024, Volume and Issue: 25(14)
Published: May 13, 2024
The emergence of Artificial Intelligence (AI) in drug discovery marks a pivotal shift pharmaceutical research, blending sophisticated computational techniques with conventional scientific exploration to break through enduring obstacles. This review paper elucidates the multifaceted applications AI across various stages development, highlighting significant advancements and methodologies. It delves into AI's instrumental role design, polypharmacology, chemical synthesis, repurposing, prediction properties such as toxicity, bioactivity, physicochemical characteristics. Despite promising advancements, also addresses challenges limitations encountered field, including data quality, generalizability, demands, ethical considerations. By offering comprehensive overview discovery, this underscores technology's potential significantly enhance while acknowledging hurdles that must be overcome fully realize its benefits.
Language: Английский
Citations
11
Revista Foco, Journal Year: 2025, Volume and Issue: 18(1), P. e7398 - e7398
Published: Jan. 7, 2025
Objetivo: realizar um levantamento bibliográfico sobre o uso e atribuição de coautoria às ferramentas Inteligência Artificial na produção artigos científicos seus impactos produtividade científica, sobretudo área médica. Métodos: Trata-se uma revisão sistematizada literatura realizada nas bases dados LILACS, PUBMED Embase, por meio do cruzamento dos descritores “Inteligência Artificial”, “Escrita Científica” ou “Produtividade “Coautoria”, nos idiomas português, inglês espanhol. Resultados: A amostra final foi constituída 27 em que os autores destacaram pontos positivos, como criatividade, rapidez, correção gramatical, tradução textos análise dados, negativos, referências falsas inexistentes, plágio presença viés, questões éticas Inteligências Artificiais (IA’s) escrita a exemplo da segurança, transparência igualdade acerca conteúdo produzido. Os pesquisadores apresentaram divergentes relação ao inteligência artificial com tais ferramentas: 12 foram favor, quatro contra 10 acreditam precisar mais debates não comentaram estudos. Conclusão: O IAs comunidade acadêmica é inevitável está crescimento, exigindo discussões sua aplicação forma ética, especialmente médica, onde diagnósticos pacientes são críticos. Desse modo, necessário estabelecer critérios consensuais para seu uso, incluindo limites elaboração créditos acadêmicos. Embora as tragam inúmeros benefícios, preocupações quanto à utilização definição direitos autorais precisam ser abordadas evitar prejuízos científica aproveitar máximo potencial dessas tecnologias.
Citations
0
Revista Venezolana de Gerencia, Journal Year: 2025, Volume and Issue: 30(109), P. 351 - 380
Published: Jan. 30, 2025
La inteligencia artificial (IA) ha transformado la investigación científica en última década. Su capacidad para procesar grandes volúmenes de datos revolucionado áreas como las ciencias naturales y sociales, permitiendo identificación patrones, generación predicciones, creación nuevos modelos teóricos metodológicos. Sin embargo, su implementación enfrenta desafíos significativos, ausencia un enfoque sistemático estandarizado. El objetivo esta es examinar tendencias investigativas el campo. metodología abarca bases Scopus Web Of Science. Los resultados revelan crecimiento polinomial cúbico con los años 2023 2022 más relevantes. referentes temáticos fueron autores Liu Zhang, revistas Innovation Cognition países Estados Unidos China. En evolución temática se pasó investigar sobre Scientific study of language a ChatGPT Remote research, palabras emergentes crecientes Generative AI, Integrity ChatGPT. Se sugiere profundizar conceptos clave enfrentar aprovechar oportunidades que ofrece científica. Las conclusiones proporcionan una visión completa del estado actual sugieren prometedoras estudios futuros.
Citations
0
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials, Journal Year: 2025, Volume and Issue: 166, P. 106949 - 106949
Published: Feb. 25, 2025
Language: Английский
Citations
0
Revista Científica General José María Córdova, Journal Year: 2025, Volume and Issue: 23(49), P. 63 - 94
Published: Feb. 21, 2025
Por una parte, las revistas enfrentan retos para mantenerse actualizadas y posicionarse en un entorno muy cambiante competitivo, lo que afecta su relevancia citaciones; y, por otra la inteligencia artificial (IA) es cada vez más tecnología clave industria editorial, capacidad de procesar grandes volúmenes datos optimizar procesos. Con el objetivo identificar potencial herramientas IA mejorar los procesos publicaciones científicas, así como tendencias emergentes, este artículo presenta investigación con enfoque mixto, integra revisión sistemática literatura recopila analiza particularmente ciencias sociales. Se revisan plataformas disponibles, evaluando precisión a través revisiones sistemáticas análisis comparativos resultado, se proponen directrices adecuada implementación editoriales.
Citations
0
Information and Organization, Journal Year: 2025, Volume and Issue: 35(1), P. 100560 - 100560
Published: March 1, 2025
Language: Английский
Citations
0
Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113280 - 113280
Published: March 1, 2025
Language: Английский
Citations
0
Journal of Oral and Maxillofacial Surgery, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
0
Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown
Published: April 11, 2025
Purpose As artificial intelligence (AI) and machine learning (ML) technologies continue to revolutionize various industries, understanding their impact on job embeddedness becomes crucial. This study examine the role of AI ML embeddedness, identifying key trends proposing future research directions. It seeks understand how these influence employee attachment within organizations. Design/methodology/approach uses bibliometric analysis assess 890 articles published from 2001 2023 its relationship with ML. The Scopus database is examined utilizing VOSviewer Biblioshiny applications determine themes deficiencies. visualizes intellectual landscape this area. Findings highlights growing interest in highlighting complex between adoption attachment, links fit. also emerging like AI-enabled talent management, remote work implications ethical considerations AI-driven workplaces. Research limitations/implications extent database, time period metadata correctness all provide restrictions investigation affect embeddedness. Nonetheless, results underscore need for empirical effects researchers useful insights. technological improvements influenced attitudes actions. Originality/value presents a comprehensive overview AI/ML technologies, techniques evaluate publications. reveals trends, identifies gaps suggests directions field.
Language: Английский
Citations
0