Latest AI and machine learning research in covid-19 for healthcare professionals.
OBJECTIVES: Spingosine-1-phosphate (S1P) and ceramides are bioactive sphingolipids that influence ca...
Hand-held robotic instruments enhance precision in microsurgery by mitigating physiological tremor i...
Social networks are increasingly taking over daily life, creating a volume of unsecured data and mak...
Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular de...
BACKGROUND: The roles of preoperative serum carcinoembryonic antigen (sCEA) and postoperative tissue...
BACKGROUND: Anti-citrullinated peptide antibodies (ACPA)-negative (ACPA-) rheumatoid arthritis (RA) ...
Dental caries has been one of the most prevalent diseases globally over the last few decades, threat...
RATIONALE AND OBJECTIVES: To develop an automatic deep-radiomics framework that diagnoses and strati...
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...
The recent advent of in-context learning (ICL) capabilities in large pre-trained models has yielded ...
DNA methylation (DNAm) is essential for brain development and function and potentially mediates the ...
BACKGROUND: Despite its crucial role in immune surveillance and cell survival of tumors, the signifi...
Accurate polyp segmentation is crucial for early diagnosis and treatment of colorectal cancer. This ...
BACKGROUND: The prediction of coronavirus disease in 2019 (COVID-19) in broader regions has been wid...
This study aimed to evaluate the performance of a deep learning-based segmentation model for predict...
INTRODUCTION: Pulmonary barotrauma in coronavirus disease-2019 (COVID-19) acute respiratory distress...
As an alternative to assessments performed by human experts, artificial intelligence (AI) is current...
Recent advancements in technology, such as the emergence of artificial intelligence (AI) and machine...
In the current scenario, decision-making models are essential for analyzing real-world problems. To ...
Over the past decade, the size of neural network models has gradually increased in both breadth and ...
BACKGROUND: Accurate prediction of pathological complete response (pCR) and disease-free survival (D...