Latest AI and machine learning research in covid-19 for healthcare professionals.
AIMS: Major adverse cardiac events (MACE) significantly impact perioperative morbidity and mortality...
UNLABELLED: CACNA1A- and GAA-FGF14-related channelopathies are among the most frequent genetic etiol...
BACKGROUND: Cardiorespiratory fitness, as measured by peak oxygen uptake during cardiopulmonary exer...
OBJECTIVES: We compared three customized nnU-Net models (A: baseline two-dimensional (2D); B: 2D + r...
Vitiligo is an autoimmune disorder characterized by heterogeneous and unpredictable depigmentation, ...
Accurate forecasting of financial time series increasingly relies on alternative data such as enviro...
Osteoporosis (OP) is a multifactorial disease, leading to abnormal bone remodeling, requiring target...
BACKGROUND: Prostate cancer represents the second most common malignancy among men globally, necessi...
This dataset utilizes social media videos to investigate behavior of Rose-ringed parakeet(Psittacula...
Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized ge...
UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal do...
BACKGROUND: Meaningful connections in which people feel valued, seen, and heard are essential for so...
T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), ...
Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise imp...
INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their ...
Colorectal liver metastases (CRLM) represent a major clinical challenge because outcomes after hepat...
BACKGROUND: Accurate segmentation of cartilage from magnetic resonance imaging (MRI) is crucial for ...
OBJECTIVES: Antiphospholipid antibodies (aPLs) are closely associated with recurrent spontaneous abo...
PURPOSE: To investigate imaging phenotypes in posthospitalized COVID-19 patients by integrating quan...
Purpose To evaluate the performance of deep learning models integrating multimodal data for predicti...
Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, ...