Latest AI and machine learning research in dermatology for healthcare professionals.
PURPOSE: To evaluate the image quality of super-resolution deep learning reconstruction (SR-DLR) for...
BACKGROUND: Large language models (LLMs) are increasingly used in medical education and assessment f...
OBJECTIVES: This study aimed to develop and compare deep-learning models for detecting proximal cari...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
Multiple sclerosis is characterized by marked biological heterogeneity that is only partly captured ...
ObjectiveTo critically review the current pharmacologic treatment landscape for epidermal growth fac...
Biliary tract cancers (BTCs) are associated with poor outcomes despite recent incorporation of immun...
Artificial intelligence, noninvasive imaging, and molecular profiling are improving skin cancer asse...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
Objectives: To develop a segmentation-guided multitask deep learning model for Society for Vascular ...
INTRODUCTION: Peripheral pulmonary lesions (PPLs) are difficult to access bronchoscopically due to t...
Artificial Intelligence (AI) in dermatology is a rapidly evolving field, offering promising advancem...
BACKGROUND: Traditionally, the number and location of cerebral microbleeds (CMBs) are manually calcu...
Aging and tissue repair involve heterogeneous remodeling across transcriptional, biochemical and cel...
Drug‑tolerant persister cells represent a major barrier to durable responses in cases of epidermal g...
RATIONALE AND OBJECTIVES: To evaluate semi-automatic segmentation of bladder ultrasound images and d...
Online conversational tools have become increasingly common sources of health information, with many...
AIMS: Colorectal cancer (CRC) remains a major cause of cancer mortality, with up to 26% of adenomas ...
BACKGROUND: Plastic surgery relies heavily on the visual assessment of skin and soft tissues, yet mo...
Here we introduce Paper2Agent, an automated framework that converts research papers into artificial ...
BACKGROUND: Several gene expression signatures (GESs) are used for risk stratification in estrogen r...