Dermatology

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

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Subcategories: Atopy Psoriasis
Showing 1009-1029 of 4,159 articles
Prognostic assessment of osteolytic lesions and mechanical properties of bones bearing breast cancer using neural network and finite element analysis.

The management of skeletal-related events (SREs), particularly the prevention of pathological fractu...

(2)
Mar 2025 40395772
Unveiling the power of Treg.Sig: a novel machine-learning derived signature for predicting ICI response in melanoma.

BACKGROUND: Although immune checkpoint inhibitor (ICI) represents a significant breakthrough in canc...

Mar 2025 40226609
Toward Accurate Deep Learning-Based Prediction of Ki67, ER, PR, and HER2 Status From H&E-Stained Breast Cancer Images.

Despite improvements in machine learning algorithms applied to digital pathology, only moderate accu...

Mar 2025 40143808
Automated assessment of skin histological tissue structures by artificial intelligence in cutaneous melanoma.

BACKGROUND: Prognostic histopathological features such as mitosis in melanoma are excluded from the ...

(1)
Mar 2025 40158269
SIMVI disentangles intrinsic and spatial-induced cellular states in spatial omics data.

Spatial omics technologies enable analysis of gene expression and interaction dynamics in relation t...

Mar 2025 40148341
Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach.

BACKGROUND: Monkeypox, a viral zoonotic disease, is an emerging global health concern, with rising i...

(1)
Mar 2025 40140754
Cell Wall-Based Machine Learning Models to Predict Plant Growth Using Onion Epidermis.

The plant cell wall (CW) is a physical barrier that plays a dual role in plant physiology, providing...

Mar 2025 40243585
Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study.

ChatGPT is increasingly used in healthcare. Fields like dermatology and radiology could benefit from...

Mar 2025 40117499
Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study.

BACKGROUND: Identifying the risk of psoriasis relapse after discontinuing biologics can help optimiz...

Mar 2025 40107277
Artificial Intelligence and Convolutional Neural Networks-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes.

BACKGROUND: Lymph node (LN) assessment is a critical component in the staging and management of cuta...

Mar 2025 40105309
Artificial intelligence challenge of discriminating cutaneous arteritis and polyarteritis nodosa based on hematoxylin-and-eosin images of skin biopsy specimens.

Diseases that develop necrotizing vasculitis of cutaneous muscular arteries include cutaneous arteri...

(3)
Mar 2025 40112595
Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, am...

Mar 2025 40112652
Segment Like A Doctor: Learning reliable clinical thinking and experience for pancreas and pancreatic cancer segmentation.

Pancreatic cancer is a lethal invasive tumor with one of the worst prognosis. Accurate and reliable ...

(2)
Mar 2025 40112510
Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients.

BACKGROUND: Early and accurate identification of epidermal growth factor receptor (EGFR) mutation st...

(2)
Mar 2025 40075375
Unsupervised machine learning identifies biomarkers of disease progression in post-kala-azar dermal leishmaniasis in Sudan.

BACKGROUND: Post-kala-azar dermal leishmaniasis (PKDL) appears as a rash in some individuals who hav...

Mar 2025 40067811
Dual-Modality Virtual Biopsy System Integrating MRI and MG for Noninvasive Predicting HER2 Status in Breast Cancer.

RATIONALE AND OBJECTIVES: Accurate determination of human epidermal growth factor receptor 2 (HER2) ...

Mar 2025 40068996
Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data.

BACKGROUND: As part of qualitative research, the thematic analysis is time-consuming and technical. ...

Mar 2025 40065373
FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification.

Accurate and timely classification of skin diseases is essential for effective dermatological diagno...

(2)
Mar 2025 40056840
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