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Examining labelling...
Examining labelling guidelines for AI-based software as a medical device : A review and analysis of dermatology mobile applications in Australia
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- Oloruntoba, Ayooluwatomiwa (författare)
- Monash University
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- 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,Alfred Health,Monash University,Skåne University Hospital
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- Sashindranath, Maithili (författare)
- Monash University
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- Anthony, Ojochonu (författare)
- Monash University
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- Abbott, Lisa (författare)
- University of Sydney
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- Guitera, Pascale (författare)
- Royal Prince Alfred Hospital,University of Sydney
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- Caccetta, Tony (författare)
- Perth Dermatology Clinic
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- Janda, Monika (författare)
- University of Queensland
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- Soyer, H. Peter (författare)
- University of Queensland
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- Mar, Victoria (författare)
- Monash University,Alfred Health
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: Australasian Journal of Dermatology. - 0004-8380.
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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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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Till lärosätets databas
- Av författaren/redakt...
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Oloruntoba, Ayoo ...
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Ingvar, Åsa
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Sashindranath, M ...
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Anthony, Ojochon ...
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Abbott, Lisa
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Guitera, Pascale
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visa fler...
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Caccetta, Tony
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Janda, Monika
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Soyer, H. Peter
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Mar, Victoria
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Hälsovetenskap
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och Medicinsk etik
- Artiklar i publikationen
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Australasian Jou ...
- Av lärosätet
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Lunds universitet