Dermatology

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

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Subcategories: Atopy Psoriasis
Showing 1807-1827 of 3,979 articles
Automatic Segmentation and Molecular Subtype Classification of Breast Cancer Using an MRI-based Deep Learning Framework.

Purpose To build a deep learning framework using contrast-enhanced MRI for lesion segmentation and a...

Omics data classification using constitutive artificial neural network optimized with single candidate optimizer.

Recent technical advancements enable omics-based biological study of molecules with very high throug...

The use of ChatGPT in the dermatological field: a narrative review.

Artificial intelligence (AI) encompasses the development of computer systems capable of tasks typica...

Detection of precancerous lesions in cervical images of perimenopausal women using U-net deep learning.

Due to physiological changes during the perimenopausal period, the morphology of cervical cells unde...

Multisequence 3-T Image Synthesis from 64-mT Low-Field-Strength MRI Using Generative Adversarial Networks in Multiple Sclerosis.

Background Portable low-field-strength (64-mT) MRI scanners show promise for increasing access to ne...

Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary.

Background Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, requiring swift ...

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

Artificial Intelligence Predicts Fitzpatrick Skin Type, Pigmentation, Redness, and Wrinkle Severity From Color Photographs of the Face.

BACKGROUND: Due to high patient demand, increasing numbers of non-dermatologists are performing skin...

Artificial Intelligence-Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis.

IMPORTANCE: Although more than 1 in 10 people experience pruritus, there are limited medical technol...

Geometric deep learning and multiple-instance learning for 3D cell-shape profiling.

The three-dimensional (3D) morphology of cells emerges from complex cellular and environmental inter...

Assessing the effects of immune checkpoint inhibitors on bone utilizing machine learning-assisted opportunistic quantitative computed tomography.

Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, yet their impact on bone he...

[Scale-invariant feature-enhanced deep learning framework for oral mucosal lesion segmentation].

To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with s...

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery.

RNA biomarkers enable early and precise disease diagnosis, monitoring, and prognosis, facilitating p...

Predicting psoriasis severity using machine learning: a systematic review.

BACKGROUND: In dermatology, the applications of machine learning (ML), an artificial intelligence (A...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses.

BACKGROUND: Skin cancer is the most common cancer worldwide. Early diagnosis is crucial to improving...

Extended Technical and Clinical Validation of Deep Learning-Based Brainstem Segmentation for Application in Neurodegenerative Diseases.

Disorders of the central nervous system, including neurodegenerative diseases, frequently affect the...

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