Latest AI and machine learning research in dermatology for healthcare professionals.
Manual interpretation of CT images for bone metastasis (BM) detection in primary cancer remains chal...
Deep learning reconstruction (DLR) provides an elegant solution for MR acceleration while preserving...
The advent of next-generation antibody-drug conjugates (ADCs), particularly trastuzumab deruxtecan (...
Many aspects of our life are affected by technology. One of the most discussed advancements of moder...
BACKGROUND: Accurate assessment of expected survival in melanoma patients is crucial for treatment d...
PURPOSE: According to the updated classification system, human epidermal growth factor receptor 2 (H...
The purpose of this study was to investigate the utility of deep learning image reconstruction at me...
BACKGROUND: Hair transplantation is a minimally invasive procedure for treating hair loss in men and...
Breast cancer poses a serious threat to women's health, and its early detection is crucial for enhan...
BACKGROUND: Skin lesions associated with head and neck carcinomas present a diagnostic challenge. Co...
Predicting long-term functional outcomes for individuals with stroke is a significant challenge. Sol...
The bidirectional communication between the skin and brain has emerged as a promising scientific par...
Long non-coding RNAs (lncRNAs) could alter the tumor immune microenvironment and regulate the expres...
Atopic dermatitis (AD) is a chronic, inflammatory skin disorder that affects individuals across the ...
Artificial intelligence (AI) is already impacting the way we diagnose skin diseases. Although there ...
The incidence of melanoma is increasing worldwide, requiring early detection to improve survival rat...
Purpose To develop an artificial intelligence (AI) model based on gadoxetic acid-enhanced MRI to ass...
BACKGROUND: Artificial intelligence holds significant potential in dermatology.
With the public release of ChatGPT before the 2024 dermatology residency application cycle, applican...