Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Melanoma outcomes differ across countries, income settings, and skin tones, reflecting not only variable environmental and genetic risks but also upstream political determinants of health that shape exposure, access, and resources. OBJECTIVE: To apply the 3-I framework (Interests, Ideas, and Institutions) to synthesize global melanoma inequities and identify actionable dermatologic imp...
PURPOSE: To develop a deep learning-based fully automated framework for segmenting multiple sclerosis (MS) lesions in the spinal cord (SC) using images derived from MP2RAGE acquisitions. MATERIALS AND METHODS: This retrospective multicenter study included 472 MRI volumes from 422 subjects (mean age 52±12.5 years), comprising 402 patients with MS and 20 healthy controls, acquired at three centers u...
BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from e...
Oral leukoplakia (OL) is a precancerous condition typically assessed through histopathological examination of mucosal lesion biopsies. Identifying his...
To develop and evaluate MultiDentNet, a unified deep learning framework for multi-class dental condition screening and preliminary risk stratification...
Oncolytic peptides (OPs) represent a promising class of cancer therapeutics capable of rapidly lysing tumor cells and activating antitumor immunity. H...
Skin cancer is a potentially fatal disease that requires early and accurate diagnosis to improve patient outcomes. Deep learning has shown promise in ...
BACKGROUND: Definitive chemoradiotherapy for head and neck squamous cell carcinomas (HNSCC) carries significant long-term toxicities, with elective ne...
PURPOSE: Multimodal large language models (LLMs) offer emerging capabilities in medical image interpretation; however, their efficacy in orthopedic on...
Stroke is a life-threatening neurological condition that requires rapid assessment to reduce mortality and long-term disability. Accurate lesion segme...
Melanoma is a highly aggressive form of skin cancer with a significant mortality rate. Over the past two decades, its incidence has been on the rise a...
BACKGROUND: Diagnosing anogenital dermatological conditions often requires specialist expertise that is unavailable in many clinical settings. Large l...
PURPOSE: To assess the image quality, apparent diffusion coefficient (ADC) values, and lesion detection of diffusion-weighted imaging (DWI) with compr...
Quasi-static strain elastography is a non-invasive technique for estimating tissue stiffness fields from displacement fields obtained by comparing ult...
Benzo(a)pyrene (BaP) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), as typical environmental carcinogens, are widely present in tobacco smo...
BACKGROUND: Stroke causes neurological impairment through local plasticity mechanisms, such as synaptic sprouting, and large-scale network reorganizat...
Pediatric exanthematous diseases pose diagnostic challenges because clinical presentations overlap. To determine whether current artificial intelligen...
RNA-based cancer immunotherapy has emerged as a next-generation strategy in oncology, harnessing the versatile properties of RNA molecules to activate...
Cyclin-dependent kinase 4/6 inhibitors improve outcomes in hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breas...
Multiple Myeloma (MM) is a malignancy that is commonly associated with the development of osteolytic lesions. To support MM diagnosis, low-dose Comput...