The number, size and complexity of computational models of biological systems are growing at an ever increasing pace. It is imperative to build on existing studies by reusing and adapting existing models and parts thereof. The description of the stru...
The CellML Metadata Framework 2.0 is a modular framework that describes how semantic annotations should be made about mathematical models encoded in the CellML (www.cellml.org) format, and their elements. In addition to the Core specification, there ...
OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essent...
BACKGROUND: Authorship in research is crucial for academic recognition and accountability; however, there remain discrepancies throughout institutions regarding authorship inclusion. This review aimed to evaluate the similarities, variations and dist...
BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates comprehensive and standardized reporting guidelines to ensure transparency, reproducibility, and ethical applications in clinical research. Existing reportin...
Studies in health technology and informatics
May 15, 2025
The integration of AI into healthcare has raised ethical concerns, including algorithmic bias, patient privacy, and accountability. Despite global efforts to establish ethical guidelines for AI, healthcare-specific AI ethics frameworks are actively e...
Studies in health technology and informatics
May 15, 2025
We present preliminary results of a systematic review of reporting guidelines for nine papers from clinical and non-clinical databases. Initial results show that there is no single standard that fulfills the needs of distinct stakeholders.
Studies in health technology and informatics
Aug 22, 2024
BACKGROUND: The rapid technical progress in the domain of clinical Natural Language Processing and information extraction (IE) has resulted in challenges concerning the comparability and replicability of studies.
High-quality research is essential in guiding evidence-based care, and should be reported in a way that is reproducible, transparent and where appropriate, provide sufficient detail for inclusion in future meta-analyses. Reporting guidelines for vari...
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