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How does the implementation of artificial intelligence impact the accuracy of Incontinence-Associated Dermatitis?

Generalizability theory

Naive Bayes classifier

Medical diagnosis

Teledermatology

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The implementation of artificial intelligence (AI) in dermatology has shown promising results in diagnosing various skin conditions, including Incontinence-Associated Dermatitis (IAD). AI models, such as the Tibot AI app, have demonstrated high prediction accuracy in identifying dermatological diseases when compared to dermatologists. However, real-world validation of AI models is crucial before widespread use. While AI has the potential to assist in diagnosing skin diseases, including IAD, it is essential to note that the diagnostic accuracy of AI models may vary. Studies have indicated that AI systems may have lower accuracy compared to General Practitioners (GPs) and dermatologists in real-life settings. Therefore, further research and validation in clinical practice are necessary to ensure the reliability and effectiveness of AI in accurately diagnosing Incontinence-Associated Dermatitis and other dermatological conditions.

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Papers (5)	Insight
Book Chapter•DOI Impact of Image Classification in Dermatology: Automated Diagnosis 01 Jan 2022	Not addressed in the paper.
Open access•Journal Article•DOI Analyzing the Predictability of an Artificial Intelligence App (Tibot) in the Diagnosis of Dermatological Conditions: A Cross-sectional Study Shiva Shankar Marri, Arun C Inamadar, Ajit B Janagond, Warood Albadri - Show less +3 more 05 Jan 2023-JMIR dermatology	Not addressed in the paper.
Journal Article•DOI [Artificial intelligence and dermatology.] Giampaolo Collecchia 01 Sep 2022-Recenti progressi in medicina	Not addressed in the paper.
Other•DOI AI in Dermatology 03 Mar 2023	Not addressed in the paper.
Open access•Posted Content•DOI Use of artificial intelligence as a diagnostic support tool for skin lesions in primary care: feasibility study in clinical practice 12 Jan 2023	Not addressed in the paper.

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