Are Patch Testing Reactions Underrecognized in Skin of Color? Evaluating the Frequency of Borderline Reactions by Fitzpatrick Skin Type DOI

Brailyn Weber,

Sarah Karels,

Sara A. Hylwa

et al.

Dermatitis, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Abstract: Background: Patch testing reactions can be difficult to interpret in patients with skin of color (higher Fitzpatrick types [FSTs]) due limited erythema or vesiculation. Missed may lead prolonged allergic contact dermatitis duration and prevent disease clearance this population.

Language: Английский

Enhancing Recognition of Allergic Contact Dermatitis in Skin of Color: A 3D Imaging Approach DOI
Tara Ghalambor, Carsten R. Hamann,

Dathan Hamann

et al.

Dermatitis, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Patch testing, a key diagnostic tool for allergic contact dermatitis, relies heavily on visual assessment of erythema, which is not as prominent or presents differently in skin color. To address this challenge, we used 3D camera and image processing software to analyze patch test reaction grades color patients. Here, present topographic photographs videos doubtful, 1+, 2+, 3+, irritant reactions highlight the infiltration edema through measurements relative height texture changes. By leveraging technology, hope aid dermatologists better differentiating between further refine criteria include more objective measurements, minimizing reliance erythema.

Language: Английский

Citations

0

Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management DOI Creative Commons
Fang Cao,

Yujie Yang,

Cui Guo

et al.

Annals of Medicine, Journal Year: 2025, Volume and Issue: 57(1)

Published: April 8, 2025

Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, managing AD. AI has various innovative applications diagnosis treatment atopic dermatitis, with particular emphasis on its significant benefits medical diagnosis, monitoring, patient care. algorithms, especially those use deep learning techniques, demonstrate strong performance recognizing images effectively distinguishing different types lesions, including AD manifestations. In addition, also shown promise creating personalized plans, simplifying drug development processes, clinical trials. Despite challenges data privacy model transparency, potential advancing care enormous, bringing future to precision medicine improving outcomes. This manuscript provides comprehensive review application process first time, aiming play key role advancement health further enhance

Language: Английский

Citations

0

Are Patch Testing Reactions Underrecognized in Skin of Color? Evaluating the Frequency of Borderline Reactions by Fitzpatrick Skin Type DOI

Brailyn Weber,

Sarah Karels,

Sara A. Hylwa

et al.

Dermatitis, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Abstract: Background: Patch testing reactions can be difficult to interpret in patients with skin of color (higher Fitzpatrick types [FSTs]) due limited erythema or vesiculation. Missed may lead prolonged allergic contact dermatitis duration and prevent disease clearance this population.

Language: Английский

Citations

0