Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Stomata and pavement cells are fundamental components of the leaf epidermis, jointly regulating gas exchange, water loss, and leaf surface expansion. Stomata size, aperture, density, and pavement cell morphology are critical parameters for assessing plant transpiration efficiency, epidermal growth dynamics, and adaptive responses to environmental constraints. Despite their biological i...
To develop and deploy a publicly accessible online risk estimation tool for cutaneous melanoma that prioritizes high recall to minimize missed diagnoses, using real-world clinical photographs rather than dermoscopic images, and to bridge the gap between artificial intelligence research and clinical implementation. A 'segmentation-first, then-classification' strategy was adopted. Lesions were segme...
Atopic dermatitis (AD) and allergic contact dermatitis (ACD) are common inflammatory skin diseases influenced by environmental factors, but disease-sp...
OBJECTIVE: This review systematically evaluates the current research landscape, methodological characteristics, and translational challenges of artifi...
BACKGROUND: Convolutional neural networks (CNN) for skin cancer classification have shown results comparable to dermatologists but are vulnerable to m...
PURPOSE: MRI detection of subtle focal cortical dysplasia (FCD)-like abnormalities remains challenging in focal epilepsy. Higher signal-to-noise ratio...
PURPOSE: To evaluate detectability of hypodense hepatic and renal lesions on portal venous phase CT reconstructed with deep learning image reconstruct...
Image-level classification of oral-cavity photographs remains challenging because oral-cancer appearances are heterogeneous and many public datasets l...
BACKGROUND: Transthoracic echocardiography is the first-line test for congenital heart disease (CHD), but accurate targeted triage and lesion subtypin...
OBJECTIVES: Deep-learning (DL)-accelerated MRI can significantly reduce acquisition times. Studies evaluating interchangeability with conventional 3D ...
OBJECTIVES: To describe a diagnostic near miss in AI-assisted nailfold capillaroscopy, illustrating how a correct AI-based classification as an early ...
Human epidermal growth factor receptor 2 (HER2)-targeted therapies have revolutionized breast cancer treatment, necessitating standardized HER2 testin...
BACKGROUND: Accurate prediction of breast cancer biomarkers - including oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth fa...
BACKGROUND: Degenerative cervical myelopathy (DCM) is the leading cause of spinal cord impairment worldwide, yet conventional magnetic resonance imagi...
PURPOSE: A deep learning algorithm for contrast amplification in brain MRI, trained exclusively on adult data, was tested for cross-population general...
BACKGROUND: Atopic dermatitis (AD) is a prevalent inflammatory skin disease and a major source of disease burden in children. Biomarker studies in chi...
BACKGROUND: Acne vulgaris is a prevalent inflammatory dermatosis in which Cutibacterium acnes, Staphylococcus epidermidis, and, to a lesser extent, St...
Adrenal incidentalomas are frequently detected on abdominal imaging and require evaluation for malignancy and hormonal activity. Although most are ben...
OBJECTIVE: To assess the value of multiparametric MRI (mpMRI)-derived radiomic signatures and a combined model for non-invasive prediction of human ep...
A fully automated 2-dimensional imaging system that uses machine learning to produce real-time mobility scores has been developed and previously exter...