Dermatology

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

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Subcategories: Atopy Psoriasis
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Demystifying the Dermatology Residency Application Process, Part II - Application Season: Strategic Application, Interviewing, and Mentorship.

The dermatology residency match has become increasingly competitive, culminating in a 2025 United St...

Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network.

To address misdiagnosis caused by feature coupling in multi-label medical image classification, this...

Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concer...

CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning.

Oral cancer has a high mortality rate primarily due to delayed diagnoses, highlighting the need for ...

Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization.

Cutaneous melanoma is one of the most lethal forms of skin cancer, and its incidence is increasing g...

Attention residual network for medical ultrasound image segmentation.

Ultrasound imaging can distinctly display the morphology and structure of internal organs within the...

Automatic melanoma detection using an optimized five-stream convolutional neural network.

Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing ...

Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection.

Accurate identification of Mpox is essential for timely diagnosis and treatment. However, traditiona...

Impact of tertiary lymphoid structure-associated biomarkers on pancreatic cancer via a dual-disease analysis of psoriasis and pancreatic cancer.

Pancreatic cancer (PC), often referred to as the "king of cancers", has demonstrated limited success...

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.

Once deployed, medical image analysis methods are often faced with unexpected image corruptions and ...

AI-augmented differential diagnosis of granulomatous rosacea and lupus miliaris disseminatus faciei: A 23-year retrospective pilot study.

Granulomatous rosacea (GR) and lupus miliaris disseminatus faciei (LMDF) exhibit overlapping clinica...

Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel.

The emergence of an e-skin receptor is an optimal solution for restoring the hand function of patien...

Urgency vs triage prioritisation: appropriateness of referrer-rated urgency of referrals to a public dermatology service.

AIM: To characterise the appropriateness of community referrer-rated urgency among dermatology refer...

Multi-site validation of an interpretable model to analyze breast masses.

An external validation of IAIA-BL-a deep-learning based, inherently interpretable breast lesion mali...

Artificial Intelligence Powered Real-Time Coronary Stenosis Recognition and Quantification in Angiography.

Effective and automated measurement of coronary lesions is essential for timely decision-making duri...

Artificial Intelligence Algorithm Predicts Response to Immune Checkpoint Inhibitors.

PURPOSE: Cancer treatment has been revolutionized by the immune checkpoint inhibitors (ICIs). Howeve...

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