AIMC Topic: Skin Diseases

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Improving data participation for the development of artificial intelligence in dermatology.

Clinics in dermatology Jun 21, 2024
Artificial intelligence (AI) has the potential to significantly impact many aspects of dermatology. The visual nature of dermatology lends itself to innovations in this space. The robustness of AI algorithms depends on the quality, quantity, and vari...
Algorithms Skin Diseases Dermatology Humans Artificial Intelligence
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Using AI to help address skin health challenges caused by climate change.

International journal of dermatology May 4, 2024
Artificial Intelligence Skin Diseases Climate Change Humans
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Human-multimodal deep learning collaboration in 'precise' diagnosis of lupus erythematosus subtypes and similar skin diseases.

Journal of the European Academy of Dermatology and Venereology : JEADV Apr 15, 2024
BACKGROUND: Lupus erythematosus (LE) is a spectrum of autoimmune diseases. Due to the complexity of cutaneous LE (CLE), clinical skin image-based artificial intelligence is still experiencing difficulties in distinguishing subtypes of LE.
Humans Female Lupus Erythematosus, Cutaneous China Psoriasis Diagnosis, Differential Skin Diseases Adult Vitiligo Middle Aged Male Deep Learning
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The Promises and Perils of Foundation Models in Dermatology.

The Journal of investigative dermatology Mar 4, 2024
Foundation models (FM), which are large-scale artificial intelligence (AI) models that can complete a range of tasks, represent a paradigm shift in AI. These versatile models encompass large language models, vision-language models, and multimodal mod...
Humans Artificial Intelligence Dermatology Delivery of Health Care Skin Diseases
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Deep learning-based skin care product recommendation: A focus on cosmetic ingredient analysis and facial skin conditions.

Journal of cosmetic dermatology Feb 27, 2024
BACKGROUND: Recommendations for cosmetics are gaining popularity, but they are not being made with consideration of the analysis of cosmetic ingredients, which customers consider important when selecting cosmetics.
Skin Cosmetics Humans Skin Care Skin Diseases Deep Learning Face
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LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation.

Journal of imaging informatics in medicine Feb 26, 2024
Deep learning can exceed dermatologists' diagnostic accuracy in experimental image environments. However, inaccurate segmentation of images with multiple skin lesions can be seen with current methods. Thus, information present in multiple-lesion imag...
Skin Neoplasms Dermoscopy Algorithms Databases, Factual Humans Skin Skin Diseases Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted
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The performance of an artificial intelligence-based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross-sectional study.

International journal of dermatology Feb 5, 2024
BACKGROUND: There is a huge demand-supply gap between the incidence of genital dermatoses (including sexually transmitted infections and non-venereal genital dermatoses) and physicians trained to manage them.
Photography Genital Diseases, Female Genital Diseases, Male Skin Diseases Dermatology Mobile Applications Dermatologists Young Adult Adult Male Middle Aged Artificial Intelligence Cross-Sectional Studies Humans Prospective Studies Female
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Deep learning-aided decision support for diagnosis of skin disease across skin tones.

Nature medicine Feb 5, 2024
Although advances in deep learning systems for image-based medical diagnosis demonstrate their potential to augment clinical decision-making, the effectiveness of physician-machine partnerships remains an open question, in part because physicians and...
Humans Algorithms Diagnosis, Differential Skin Diseases Deep Learning Skin Pigmentation
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DBNet-SI: Dual branch network of shift window attention and inception structure for skin lesion segmentation.

Computers in biology and medicine Feb 2, 2024
The U-shaped convolutional neural network (CNN) has attained remarkable achievements in the segmentation of skin lesion. However, given the inherent locality of convolution, this architecture cannot capture long-range pixel dependencies and multiscal...
Image Processing, Computer-Assisted Skin Diseases Humans Neural Networks, Computer
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Fusion of Deep Learning with Conventional Imaging Processing: Does It Bring Artificial Intelligence Closer to the Clinic?

The Journal of investigative dermatology Feb 1, 2024
Skin Diseases Deep Learning Image Processing, Computer-Assisted Humans Artificial Intelligence
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