Latest AI and machine learning research in stds for healthcare professionals.
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer hav...
INTRODUCTION: Postherpetic neuralgia (PHN) is the most common and difficult-to-treat complication of...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded i...
BACKGROUND: Increased lipoprotein(a) (Lp[a]) is a genetically determined causal risk factor for athe...
Leptospirosis is difficult to diagnose because of protean nonspecific clinical manifestations and th...
UNLABELLED: Accurate prediction of the unconfined compressive strength (UCS) of geopolymer-stabilize...
BACKGROUND: Despite molecular advancements, cervical cytology remains a resilient and fundamental la...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary ...
We report a rapid increase in dermatophyte infections in New York City and surrounding counties from...
PURPOSE: The application of deep learning-based methods for accurate organ-at-risk segmentation in c...
BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD)...
INTRODUCTION: Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This stud...
INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infect...
Purpose To develop a deep learning model for segmenting pectoralis muscle volume (PMV) at CT and eva...
BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime ins...
Cervical cancer (CC) is recognized as a significant health concern impacting females worldwide. The ...
AIMS: Elevated lipoprotein(a) [Lp(a)] is a common risk factor for cardiovascular disease (CVD) affec...
Organophosphorus compounds (OPCs) are widely applied in diverse industries, yet their continuous rel...
The main cause of cervical cancer emerges from long-term Human Papillomavirus (HPV) infections damag...
We evaluated the performance of three machine-learning models for classifying 39 cases of primary an...