Examining labelling guidelines for AI-based software as a medical device: A review and analysis of dermatology mobile applications in Australia

IF 2.2 4区 医学 Q2 DERMATOLOGY
Ayooluwatomiwa Oloruntoba, Åsa Ingvar MD, PhD, Maithili Sashindranath PhD, Ojochonu Anthony MD, Lisa Abbott MBBS, FACD, Pascale Guitera MD, PhD, FACD, Tony Caccetta MBBS (Hons), FACD, Monika Janda PhD, H. Peter Soyer MD, FACD, Victoria Mar MBBS, PhD, FACD
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引用次数: 0

Abstract

In recent years, there has been a surge in the development of AI-based Software as a Medical Device (SaMD), particularly in visual specialties such as dermatology. In Australia, the Therapeutic Goods Administration (TGA) regulates AI-based SaMD to ensure its safe use. Proper labelling of these devices is crucial to ensure that healthcare professionals and the general public understand how to use them and interpret results accurately. However, guidelines for labelling AI-based SaMD in dermatology are lacking, which may result in products failing to provide essential information about algorithm development and performance metrics. This review examines existing labelling guidelines for AI-based SaMD across visual medical specialties, with a specific focus on dermatology. Common recommendations for labelling are identified and applied to currently available dermatology AI-based SaMD mobile applications to determine usage of these labels. Of the 21 AI-based SaMD mobile applications identified, none fully comply with common labelling recommendations. Results highlight the need for standardized labelling guidelines. Ensuring transparency and accessibility of information is essential for the safe integration of AI into health care and preventing potential risks associated with inaccurate clinical decisions.

研究基于人工智能的软件作为医疗设备的标签指南:澳大利亚皮肤科移动应用程序回顾与分析
近年来,基于人工智能的软件即医疗设备(SaMD)的开发激增,尤其是在皮肤科等视觉专业领域。在澳大利亚,治疗用品管理局(TGA)对基于人工智能的软件即医疗设备(SaMD)进行监管,以确保其安全使用。这些设备的正确标签对于确保医疗保健专业人员和公众了解如何使用这些设备和准确解释结果至关重要。然而,皮肤病学领域缺乏人工智能超声诊断仪的标签指南,这可能导致产品无法提供有关算法开发和性能指标的基本信息。本综述研究了视觉医学专业中基于人工智能的 SaMD 的现有标签指南,并特别关注皮肤科。确定了常见的标签建议,并将其应用于目前可用的皮肤科人工智能 SaMD 移动应用程序,以确定这些标签的使用情况。在确定的 21 款基于人工智能的 SaMD 移动应用程序中,没有一款完全符合通用标签建议。结果凸显了标准化标签指南的必要性。确保信息的透明度和可获取性对于将人工智能安全地融入医疗保健和防止与不准确的临床决策相关的潜在风险至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
5.00%
发文量
186
审稿时长
6-12 weeks
期刊介绍: Australasian Journal of Dermatology is the official journal of the Australasian College of Dermatologists and the New Zealand Dermatological Society, publishing peer-reviewed, original research articles, reviews and case reports dealing with all aspects of clinical practice and research in dermatology. Clinical presentations, medical and physical therapies and investigations, including dermatopathology and mycology, are covered. Short articles may be published under the headings ‘Signs, Syndromes and Diagnoses’, ‘Dermatopathology Presentation’, ‘Vignettes in Contact Dermatology’, ‘Surgery Corner’ or ‘Letters to the Editor’.
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