- Case-Based Roundtable
- General Dermatology
- Eczema
- Chronic Hand Eczema
- Chronic Spontaneous Urticaria
- Alopecia
- Aesthetics
- Vitiligo
- COVID-19
- Actinic Keratosis
- Precision Medicine and Biologics
- Rare Disease
- Wound Care
- Rosacea
- Psoriasis
- Psoriatic Arthritis
- Atopic Dermatitis
- Melasma
- NP and PA
- Skin Cancer
- Hidradenitis Suppurativa
- Drug Watch
- Pigmentary Disorders
- Acne
- Pediatric Dermatology
- Practice Management
- Prurigo Nodularis
- Buy-and-Bill
Quiz
Article
Dermatology Times Spot Test: June 21, 2025
Author(s):
Key Takeaways
- AI is revolutionizing dermatology by improving diagnostic accuracy and personalizing treatment through tools like SkinGPT.
- Challenges include healthcare disparities and the necessity for rigorous validation of AI applications in dermatology.
Put your dermatology expertise to the test with Dermatology Times’ interactive quiz series!
Dermatology Times presents: Spot Test!
Each week, dive into a series of thought-provoking questions designed to test your understanding of essential topics, trends, and breakthroughs in dermatology.
This week, we’ll focus on the use of artificial intelligence (AI) in dermatologic and skin care applications. For more information on AI tools in dermatology, review this article from our June print publication, titled, "Beyond the Label: How AI Tools Such as SkinGPT Enhance Skin Care Understanding."
Do you have a set of quiz questions to share? Contact editor Emma Andrus at eandrus@mjhlifesciences.com to contribute!
Which of the following is a primary application of AI in dermatology and skin care?
What is a major concern in training AI algorithms for dermatologic use?
How has AI been shown to impact patient engagement in skin care?
References
- Liopyris K, Gregoriou S, Dias J, Stratigos AJ. Artificial intelligence in dermatology: challenges and perspectives. Dermatol Ther (Heidelb). 2022;12(12):2637-2651. doi:10.1007/s13555-022-00833-8
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154(11):1247-1248. doi:10.1001/jamadermatol.2018.2348
- Wongvibulsin S, Yan MJ, Pahalyants V, Murphy W, Daneshjou R, Rotemberg V. Current state of dermatology mobile applications with artificial intelligence features [published correction appears in JAMA Dermatol. 2024 Jun 1;160(6):688. doi: 10.1001/jamadermatol.2024.1342.]. JAMA Dermatol. 2024;160(6):646-650. doi:10.1001/jamadermatol.2024.0468
Newsletter
Like what you’re reading? Subscribe to Dermatology Times for weekly updates on therapies, innovations, and real-world practice tips.
