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

Oloruntoba, Ayooluwatomiwa (författare)
Monash University
Ingvar, Åsa (författare)
Lund University,Lunds universitet,Dermatologi och venereologi, Lund,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Hudcancerforskning vid Lunds universitet,Forskargrupper vid Lunds universitet,Dermatology and Venereology (Lund),Section III,Department of Clinical Sciences, Lund,Faculty of Medicine,LUCC: Lund University Cancer Centre,Other Strong Research Environments,LUSCaR- Lund University Skin Cancer Research group,Lund University Research Groups,Skåne University Hospital,Alfred Health,Monash University
Sashindranath, Maithili (författare)
Monash University
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Anthony, Ojochonu (författare)
Monash University
Abbott, Lisa (författare)
University of Sydney
Guitera, Pascale (författare)
Royal Prince Alfred Hospital,University of Sydney
Caccetta, Tony (författare)
Perth Dermatology Clinic
Janda, Monika (författare)
University of Queensland
Soyer, H. Peter (författare)
University of Queensland
Mar, Victoria (författare)
Monash University,Alfred Health
visa färre...
 (creator_code:org_t)
2024
2024
Engelska.
Ingår i: Australasian Journal of Dermatology. - 0004-8380.
  • Forskningsöversikt (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Medicinsk etik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Medical Ethics (hsv//eng)

Nyckelord

artificial intellgience
melanoma
mobile applications
skin cancer
Software as a Medical Device

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