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Artificial Intelligence (AI) transforms scientific writing by improving efficiency, accessibility, and quality. This study evaluated the applications, benefits, and challenges of AI tools, including Elicit, Perplexity, Consensus, ChatGPT, and Grammarly, in the literature review, information organization, and textual clarity enhancement. A narrative review and practical analysis were conducted, assessing the tools based on synthesis capabilities, accessibility, and accuracy. Results showed that AI tools optimize literature analysis and enhance the clarity of scientific texts, particularly for non-native English-speaking researchers. However, limitations include technical inaccuracies, excessive standardization of writing style, and ethical concerns regarding authorship and accountability. The study concludes that while AI can significantly support scientific writing, its adoption should be accompanied by stringent human oversight and adherence to ethical guidelines to maintain academic integrity.
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http://dx.doi.org/10.1590/0103-644020256471 | DOI Listing |
BMC Med Educ
September 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden.
Background: Health professions students may encounter a range of stressors during their clinical education that may impact their quality of life. This study aimed to explore how various health professions students perceive their quality of life and the environment in which they develop their clinical skills.
Methods: An online survey was administered among registered undergraduate students in the physiotherapy, speech-language pathology, nursing, or medical programs.
Virchows Arch
September 2025
Department of Public Health, University Federico II of Naples, Naples, Italy.
The PTEN tumor suppressor regulates the PIK3CA/AKT1 pathway, and its inactivation significantly contributes to tumorigenesis and progression in hormone receptor-positive/HER2-negative (HR + /HER2 -) metastatic breast cancer (MBC). In ~ 5% of these patients, PTEN loss, primarily due to gene deletions, leads to aberrant PI3K signaling and enhanced oncogenic potential. Findings from the CAPItello-291 study further establish PTEN together with PIK3CA and AKT1 as a predictive biomarker for Capivasertib, a pan-AKT inhibitor, in these patients.
View Article and Find Full Text PDFVirchows Arch
September 2025
Department of Oral Surgery and Pathology, School of Dentistry, Universidade Federal de Minas Gerais, Minas Gerais, Av. Antônio Carlos, Pampulha, Belo Horizonte, 31270-901, Brazil.
Plasmablastic lymphoma (PBL) is a rare and aggressive non-Hodgkin lymphoma with a poor prognosis and short survival rates. It is classified as a large B-cell lymphoma subtype, but carries a plasmacytic immunophenotype. Therefore, PBL has pathogenetic overlaps with diffuse large B-cell lymphoma not otherwise specified (DLBCL NOS) and plasma cell neoplasms (PCNs).
View Article and Find Full Text PDFSports Med
September 2025
Aspetar Orthopaedic and Sports Medicine Hospital, FIFA Medical Centre of Excellence, Doha, Qatar.
Sports injury surveillance programs have been vital in advancing the understanding of injury epidemiology across various athlete populations. Surveillance-based epidemiological measures of injury occurrence are ubiquitous in the sports medicine literature, and the injury rate is one such commonly used measure. Traditional approaches to calculating injury rates have predominantly relied on frequentist methods, which, while informative, have limitations in addressing certain practical questions.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
School of Materials Engineering, Changzhou Vocational Institute of Industry Technology, Changzhou, 213000, People's Republic of China.
A multi-indicator framework was developed to resolve multi-source pollution in highly urbanized rivers, demonstrated in the Qinhuai River Basin, Nanjing, China. Water quality index (WQI) stratification was integrated with dissolved organic matter (DOM) fluorescence components, hydrochemical ions, and conventional parameters and analyzed using positive matrix factorization (PMF). Correlation analysis further elucidated source compositions and interactions.
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