Regulating the future of laboratory medicine: European regulatory landscape of AI-driven medical device software in laboratory medicine.

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Hikmet Can Çubukçu, Guilaine Boursier, Solveig Linko, Francisco A Bernabeu-Andreu, Pika Meško Brguljan, Katerina Tosheska-Trajkovska, Duilio Brugnoni, Neda Milinkovic, Andrea Padoan, Marc Thelen
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Abstract

Artificial intelligence (AI) is rapidly transforming laboratory medicine, impacting medical devices and healthcare practices. Despite these advancements, AI-based medical device software (MDSW) introduces a new layer of complexity in regulatory compliance. This paper outlines the regulatory landscape for MDSW and AI-driven MDSW, clarifying the responsibilities of laboratory professionals and manufacturers under the In Vitro Diagnostic Regulation (IVDR), ISO 15189:2022, and the Artificial Intelligence Act. An analysis of 89 MDSWs approved under the IVDR, derived from the European Database on Medical Devices (EUDAMED) reveals a diverse landscape of applications, ranging from digital pathology and molecular diagnostics to laboratory automation and clinical decision support. While Germany currently dominates the EU market for these devices, and the majority of approved MDSW remain non-AI driven and classified as low-risk, the increasing presence of AI-powered Class C devices underscores the growing potential of software in complex diagnostic scenarios. However, realizing the full potential of AI in laboratory medicine requires careful navigation of the evolving regulatory landscape. Key challenges persist, including defining intended use, ensuring robust clinical evidence, mitigating data bias, and establishing rigorous post-market surveillance. Balancing regulatory oversight with innovation is critical to fostering the development of trustworthy AI systems without stifling progress. As regulatory frameworks continue to evolve, establishing clear validation methodologies and transparent compliance pathways will be essential to unlocking the full potential of AI in laboratory medicine while ensuring the highest standards of safety and clinical effectiveness.

规范实验室医学的未来:欧洲实验室医学中人工智能驱动的医疗设备软件的监管格局。
人工智能(AI)正在迅速改变实验室医学,影响医疗设备和医疗保健实践。尽管取得了这些进步,但基于人工智能的医疗设备软件(MDSW)在法规遵从性方面引入了新的复杂性。本文概述了MDSW和人工智能驱动的MDSW的监管环境,阐明了实验室专业人员和制造商在体外诊断法规(IVDR)、ISO 15189:2022和人工智能法案下的责任。来自欧洲医疗器械数据库(EUDAMED)的一项对IVDR下批准的89台mdsw的分析揭示了应用的多样化,从数字病理学和分子诊断到实验室自动化和临床决策支持。虽然德国目前在这些设备的欧盟市场占据主导地位,并且大多数批准的MDSW仍然是非人工智能驱动的,并被归类为低风险,但人工智能驱动的C类设备的增加凸显了软件在复杂诊断场景中的不断增长的潜力。然而,要充分发挥人工智能在实验室医学中的潜力,需要仔细把握不断变化的监管格局。主要挑战仍然存在,包括确定预期用途、确保强有力的临床证据、减轻数据偏差以及建立严格的上市后监测。平衡监管与创新对于促进可信赖的人工智能系统的发展而不扼杀进步至关重要。随着监管框架的不断发展,建立明确的验证方法和透明的合规途径对于释放人工智能在实验室医学中的全部潜力,同时确保最高标准的安全性和临床有效性至关重要。
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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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