EN ISO 18374:2025 PDF
Dentistry - Artificial intelligence (AI) and augmented intelligence (AuI) based 2D radiograph analysis - Data generation, data annotation and data processing (ISO 18374:2025)
Dentistry - Artificial intelligence (AI) and augmented intelligence (AuI) based 2D radiograph analysis - Data generation, data annotation and data processing (ISO 18374:2025)
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 21
- Дата публикации:
- 7 мая 2025 г.
- Издание:
- CEN EN 18374 edition 1 version 1
- ICS:
- 11.060.01
This document defines the requirements for developing and documenting the goals, limitations, target end users and target patient population for artificial intelligence (AI) and augmented intelligence (AuI) enabled 2D radiograph analysis software for dentistry applications. It outlines the requirements for appropriate training data, validation data, test data and annotation for the software to ensure that it achieves its intended goals, and is restricted to the aspects. This document does not cover the specific implementation details, and focuses on static (i.e. non-dynamic) AI/AuI.
Abstract
Overview
EN ISO 18374:2025 - "Dentistry - Artificial intelligence (AI) and augmented intelligence (AuI) based 2D radiograph analysis - Data generation, data annotation and data processing" - defines requirements for developing and documenting goals, limitations, target end users and target patient populations for AI/AuI software that analyses 2D dental radiographs. The standard focuses on static (non‑dynamic) AI/AuI and sets out expectations for appropriate training, validation and test datasets and for consistent data annotation and processing. It does not prescribe implementation-level algorithms or software architecture.
Key topics and requirements
- Scope and purpose: Clear definition of intended use, clinical goals, target users and patient populations.
- Dataset requirements: Guidance on quantity, scope and handling of training, validation and test data to support model claims.
- Data quality control: Procedures and criteria to ensure image quality, consistency and suitability for model development.
- Bias analysis factors: Identification and documentation of factors that may introduce bias (e.g., demographic or acquisition differences).
- Annotation (labelling):
- Annotation strategy and procedures
- Competency requirements for annotators and reviewers
- Reproducibility and inter‑annotator agreement
- Data pre‑ and post‑processing: Recommended controls and documentation for image preprocessing steps and output handling, plus assessment of associated risks.
- Data protection and privacy: Requirements for protecting patient data and demonstrating appropriate controls.
- Test method and reporting: Defined test data criteria, inclusion/exclusion rules, validation processes and required contents of test reports and electronic instructions for use.
Applications and who should use it
EN ISO 18374:2025 is directly relevant to:
- Dental AI/AuI developers building diagnostic or decision‑support tools for 2D radiograph analysis.
- Medical device manufacturers producing imaging software for dentistry.
- Clinical researchers and data scientists preparing datasets or performing validation studies.
- Regulators and conformity assessment bodies assessing claims and evidence for dental AI products.
- Dental clinics and health IT teams procuring or integrating AI tools and evaluating vendor documentation.
Practical use cases include clinical decision support, automated image triage, measurement/annotation tools, and quality control of radiographic imaging workflows.
Related standards (applicable)
This standard complements broader medical device, data protection and AI governance frameworks - for example, standards and regulations addressing medical device quality management, clinical evaluation and data privacy - and should be used alongside applicable national/regional regulatory requirements.
Keywords: EN ISO 18374:2025, dentistry, AI, AuI, 2D radiograph analysis, data annotation, data processing, training data, validation data, bias analysis, data protection.
Технические детали
- Технический комитет
- CEN/TC 55 - Dentistry
- SKU
- EN ISO 18374:2025
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