Latest AI and machine learning research in dermatology for healthcare professionals.
Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeutic efficacy, especially for local therapies and drug delivery applications that are already common in the clinic for ocular and cancer treatments. There remains a need for clearance-enabled organ-on-a-chips amenable to high throughput screening, espe...
PURPOSE OF REVIEW: Early diagnosis of skin cancer is essential for patient care. Noninvasive skin imaging devices have become increasingly used for the assessment of melanoma and nonmelanoma skin cancers (NMSC). This article reviews the scientific literature published from March 2024 up to October 2025 and highlights the latest findings. RECENT FINDINGS: Reflectance confocal microscopy remains the...
In recent years, explainable methods for artificial intelligence (XAI) have tried to reveal and describe models' decision mechanisms in the case of cl...
Metastatic progression in aggressive breast cancer (BC) depends on a tightly controlled vesicular recycling network regulated by RAB11, a small guanos...
Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The symptoms usually occur on the chest, elbows, and the sc...
The epidermal growth factor receptor (EGFR) is a key target in cancer therapy, mainly in non-small cell lung cancer (NSCLC). Though, the efficacy of E...
BACKGROUND: The development of PET scanners dedicated to high temporal and spatial resolution organ-specific imaging is an active research area, motiv...
OBJECTIVES: To compare two deep learning (DL) approaches for low-count PET/CT: deep progressive reconstruction (DPR), a scanner-integrated reconstruct...
BACKGROUND: Artificial intelligence, particularly machine learning, has great potential to improve health outcomes, including predicting adverse condi...
Heteroatom-doped transition metal oxides (H-TMOs) are regarded as a promising class of electrocatalysts for the oxygen evolution reaction (OER). Howev...
Osteosclerotic jaw lesions, often incidentally detected on routine radiographs, are rarely biopsied due to their benign appearance and proximity to de...
BACKGROUND: Uveal melanoma (UM) is a rare cancer with an estimated annual incidence of 6 incidences per million people. About half of UM patients deve...
OBJECTIVE: This study aims to develop and evaluate a dual-task deep learning framework for the simultaneous detection and classification of coronary l...
INTRODUCTION: Respiratory-induced artefacts cause blurring in PET images, impairing lesion identification and diagnosis. Existing correction methods e...
BACKGROUND: Prostate cancer (PCa) diagnosis has historically relied on prostate-specific antigen (PSA) testing. Although PSA screening significantly r...
In robot-assisted breast ultrasound scanning, conventional 2-D imaging often fails to fully capture the spatial morphology of lesions, limiting clinic...
PURPOSE: Evaluate how small lesion filtering and different intersection-over-union (IoU) thresholds influence deep learning segmentation of Ga-68-PSMA...
BACKGROUND AND AIMS: Pulsed field ablation (PFA) has emerged to an innovative approach to achieve pulmonary vein isolation (PVI) in atrial fibrillatio...
PURPOSE: Sonazoid contrast-enhanced ultrasound (CEUS) offers valuable diagnostic information on hepatic lesions, but it is time-consuming. In this stu...
BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblastoma (GBM) prognosis. However, non-invasive assessm...