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
{"title":"Examining labelling guidelines for AI-based software as a medical device: A review and analysis of dermatology mobile applications in Australia","authors":"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","doi":"10.1111/ajd.14269","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":8638,"journal":{"name":"Australasian Journal of Dermatology","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajd.14269","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Journal of Dermatology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ajd.14269","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DERMATOLOGY","Score":null,"Total":0}
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.
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’.