Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...
The most common cancers in women, ovarian, cervical and endometrial, are still a significant cause o...
1,2,3-Trichloropropane (TCP) is a persistent and highly toxic contaminant that poses substantial ris...
BACKGROUND: Emerging evidence has highlighted a potential link between chronic rhinosinusitis with n...
The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the developm...
Excellent performance has been achieved on medical image segmentation. Still, existing algorithms pe...
Purpose To develop a deep learning model for segmenting pectoralis muscle volume (PMV) at CT and eva...
This study compares two advanced deep learning models, nnU-Net and MA-SAM, for automatic segmentatio...
PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactiv...
BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime ins...
AIMS: Elevated lipoprotein(a) [Lp(a)] is a common risk factor for cardiovascular disease (CVD) affec...
INTRODUCTION: Prostate-specific antigen (PSA) alone is insufficient for the diagnosis of prostate ca...
Portable disease monitoring is made possible by point-of-care testing (POCT), which can help prevent...
Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated...
Prostate cancer (PCa) remains a major global health burden, with incidence rising as populations age...
There have been several attempts to develop machine learning (ML) models to identify human infecting...
Bridging integrator 1 (BIN1) is one of the strongest genetic risk factors for Alzheimer's disease (A...
Understanding the relationship between genomic variation and phenotype is fundamental to deciphering...
PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progeste...
Glioblastoma (GBM) is the most common malignant intracranial tumor in adults, with a median survival...
OBJECTIVE: We evaluated the accuracy of standard machine learning (ML) algorithms in predicting 1-ye...