Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

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Showing 1765-1785 of 3,979 articles
Bladder lesion detection using EfficientNet and hybrid attention transformer through attention transformation.

Bladder cancer diagnosis is a challenging task because of its intricacy and variation of tumor featu...

Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT.

Deep learning models are increasingly being implemented for automated medical image analysis to info...

Diagnostic tools and methods for dermatological assessment.

Advanced clinical practitioners (ACPs) play an essential role in dermatological care but often encou...

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study.

Artificial intelligence (AI) systems substantially improve dermatologists' diagnostic accuracy for m...

Patient research priorities in melanoma: a national qualitative interview study.

BACKGROUND: Outcomes for advanced melanoma have improved following the advent of immunotherapy and t...

A Multitask Network for the Diagnosis of Autoimmune Gastritis.

Autoimmune gastritis (AIG) has a strong correlation with gastric neuroendocrine tumors (NETs) and ga...

Towards Skin Cancer Detection Through Low Resolution Images.

Currently, dermatologists need to check numerous image reports (high resolution) for diagnosing skin...

Transforming Healthcare: The Role of Artificial Intelligence.

The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...

Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results.

The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and ...

Exploring Differential Diagnosis-Based Explainable AI: A Case Study in Melanoma Detection.

Melanoma is a significant global health concern, with rising incidence rates and high mortality when...

Enhancing medical explainability in deep learning for age-related macular degeneration diagnosis.

Deep learning models hold significant promise for disease diagnosis but often lack transparency in t...

Artificial intelligence-enabled precision medicine for inflammatory skin diseases.

Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing d...

Efficient Design of Affilin Protein Binders for HER3.

Engineered scaffold-based proteins that bind to concrete targets with high affinity offer significan...

Innovations in maternal-fetal dermatology: A focus on artificial intelligence-driven diagnostics, global disparities, and transformative care.

Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, a...

A fusocelular skin dataset with whole slide images for deep learning models.

Cutaneous spindle cell (CSC) lesions encompass a spectrum from benign to malignant neoplasms, often ...

Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists.

BACKGROUND/OBJECTIVES: This study explored the views of dermatologists in Australia on the use of Ar...

A customizable P hydrogel applicator for brachytherapy of skin hemangioma based on machine learning and 3D-printing.

Skin hemangioma is a tumor originating from skin blood vessels, which often occurs in infants and ch...

Machine-learning based classification of 2D-IR liquid biopsies enables stratification of melanoma relapse risk.

Non-linear laser spectroscopy methods such as two-dimensional infrared (2D-IR) produce large, inform...

Identifying Mild-to-Moderate Atopic Dermatitis Using a Generic Machine Learning Approach: A Danish National Health Register Study.

Atopic dermatitis is a chronic skin disease, causing itching and recurrent eczematous lesions. In Da...

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