AIMC Topic: Guidelines as Topic

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Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.

Methods of information in medicine
BACKGROUND: Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challen...

Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 2.

Journal of integrative bioinformatics
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 Specification.

Journal of integrative bioinformatics
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 ...

Journal of Global Health's Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP): preventing 'paper mills', duplicate publications, misuse of statistical inference, and inappropriate use of artificial intelligence.

Journal of global health
In recent years, global accessibility to large 'big data' repositories that enable 'open research' - such as the UK Biobank, National Health and Nutrition Examination Survey (NHANES), and Global Burden of Disease (GBD) datasets - has created unpreced...

Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

Korean journal of anesthesiology
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...

Mapping Ethical Guidelines for AI in Healthcare: A Global Perspective.

Studies in health technology and informatics
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...

What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results.

Studies in health technology and informatics
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.

Towards a Reporting Guideline for Studies on Information Extraction from Clinical Texts.

Studies in health technology and informatics
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.

Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.

BMJ health & care informatics
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...