AIMC Topic: Skin Diseases

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Skin disease diagnostics through federated transfer learning on heterogeneous data.

Scientific reports
Skin diseases frequently cause mental and physical distress and are major global health concern. Because early detection is crucial to successful treatment, accurate diagnosis is challenge for dermatologists as well. Diagnostic accuracy could be sign...

Image Generation of Common Dermatological Diagnoses by Artificial Intelligence: Evaluation Study of the Potential for Education and Training Purposes.

JMIR dermatology
BACKGROUND: The integration of artificial intelligence (AI) into dermatology holds promise for education and diagnostic purposes, particularly through image generation, which has not been well studied.

Diagnostic accuracy of artificial intelligence compared to family physicians and dermatologists for skin conditions: a systematic review and meta-analysis.

BMC primary care
CONTEXT: Artificial intelligence (AI) technologies are increasingly used for image recognition, especially for skin lesions. Due to what may be long wait times for dermatology appointments, general practitioners (GPs) are the gatekeepers when it come...

Design and analysis of a GaN-based 2D photonic crystal biosensor integrated with machine learning techniques for detection of skin diseases.

Scientific reports
Photonic crystals are prevalent in the detection of assorted diseases and malignancies such as vitiligo and cutis laxa. A 2D photonic crystal utilizing GaN is demonstrated to detect skin diseases, highlighting its substantial relevance to the photoni...

Artificial intelligence for skin lesion classification and diagnosis in dermatology: A narrative review.

Medwave
INTRODUCTION: Artificial intelligence (AI) is increasingly present in dermatology, demonstrating accuracy levels comparable to, or even superior to, those of dermatologists in diagnosing skin lesions from clinical and dermoscopic images. This review ...

Progress and Prospects of Transdermal Treatment of Allergic Skin Diseases with Natural Drugs based on Nanotechnology.

AAPS PharmSciTech
Allergic skin disease conditions represent a significant global health challenge, with conventional therapies frequently associated with local dermal irritation and systemic adverse effects. Nanotechnology-enabled transdermal drug delivery platforms ...

A deep learning-based dual-branch framework for automated skin lesion segmentation and classification via dermoscopic Images.

Scientific reports
Early skin disease detection significantly improves patient survival rates, yet limited access to dermatological expertise creates an urgent need for automated diagnostic systems. In this paper, we develop a dual-branch deep learning framework that s...

The gut‑skin axis: Emerging insights in understanding and treating skin diseases through gut microbiome modulation (Review).

International journal of molecular medicine
 Emerging evidence indicates a significant association between the composition and functionality of the gut microbiome and various skin disorders, including psoriasis, atopic dermatitis, acne and several dermatological conditions. The gut‑skin axis t...

Diffusion-based skin disease data augmentation with fine-grained detail preservation and interpolation for data diversity.

PloS one
We propose a data augmentation technique utilizing a Diffusion-based generative deep learning model to address the issue of data scarcity in skin disease diagnosis research. Specifically, we enhanced the Stable Diffusion model, a Latent Diffusion Mod...

Attention-Enhanced CNNs and transformers for accurate monkeypox and skin disease detection.

Scientific reports
Monkeypox has arisen as a global health issue, requiring prompt and precise diagnosis for optimal management. Conventional diagnostic techniques, including PCR, are dependable yet frequently unattainable in resource-constrained environments. Deep lea...