Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND/OBJECTIVES: Convolutional neural networks (CNNs) are known, due to inherent flaws in their design, to be subject to classification error. Many of these shortcomings in classification performance were addressed in 2017 with the introduction of capsule networks (CNs). The objective of this investigation is to determine the classification performance of a CN with respect to dermoscopic ima...
OBJECTIVES: Platelet storage lesion (PSL) severely impairs platelet function during storage, presenting a major hurdle in transfusion medicine; however, the dynamic interplay between global proteomic changes and post-translational modifications (PTMs) underlying these functional deteriorations remains insufficiently characterized. Here, we report the first comprehensive multi-omics analysis integr...
In metastatic melanoma with a BRAFV600 mutation, inhibitors of BRAF and MEK have improved survival. Resistance may be acquired through late genetic al...
BACKGROUND: T2-weighted imaging (T2WI) of the liver suffers from prolonged scan times and respiratory motion artifacts. Deep learning (DL)-based recon...
Resistance to third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) presents a significant clinical challenge for...
Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and hum...
Lameness in dairy cattle, primarily caused by hoof lesions, remains a widespread issue in North America with significant welfare, economic, and sustai...
A great deal is known about the formation and architecture of biological neural networks in animal models, which have arrived at their current structu...
Psoriasis and eczema are chronic inflammatory skin diseases with overlapping histopathological features, which often lead to diagnostic uncertainty ev...
INTRODUCTION: Polycystic ovary syndrome (PCOS) is a lifelong endocrine-metabolic condition with prominent dermatologic manifestations such as hirsutis...
BACKGROUND: Accurate and noninvasive breast cancer grading and therapy monitoring remain critical challenges in oncology. Traditional methods often re...
BACKGROUND: Current relevance of positive patch-test reactions guides management in allergic contact dermatitis (ACD), yet its clinical predictors and...
BACKGROUND: Most radiogenomic studies examine single driver mutations in isolation, despite evidence that co-occurring driver alterations are common a...
PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iERM) using interpretable machine learning models. D...
BACKGROUND: Cutaneous T-cell lymphomas (CTCLs) are a heterogeneous group of non-Hodgkin lymphomas, with mycosis fungoides (MF) being the most common t...
BACKGROUND: High naevus counts and ultraviolet photodamage are strong risk factors for melanoma. However, whole-of-body measures fail to capture varia...
Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshall and Rotterdam score, provide an incomplete descr...
BACKGROUND: C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignan...
Understanding the decision-making process of black-box neural networks is crucial for safe use of AI in high-stakes medical tasks such as histopatholo...
BACKGROUND: Smartphone applications that use artificial intelligence (AI) for skin cancer diagnosis may assist in early detection. However, prospectiv...