Latest AI and machine learning research in anemia for healthcare professionals.
Low-cycle fatigue (LCF) data involve complex temporal interactions in a strain cycle series, which h...
Mental fatigue (MF) is a psychobiological state induced by prolonged exertion that has the potential...
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogeneous, and systemi...
BACKGROUND: Chronic musculoskeletal pain (CMP) impacts around 20% of people globally, resulting in p...
Angiogenesis, the formation of new blood vessels, is a fundamental biological process with implicati...
Cognitive fatigue is a psychological condition characterized by opinions of fatigue and weakened cog...
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...
This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...
Artificial intelligence-based cardiac motion mapping offers predictive insights into pulmonary hyper...
In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as sympto...
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...
PURPOSE: The purpose of this study was to develop and validate a deep-learning model for noninvasive...
INTRODUCTION: Hypoxia-inducible factor-1α (HIF-1α) has become a significant therapeutic target for b...
Leukemia is a serious problem affecting both children and adults, leading to death if left untreated...
Boxing punch type classification and kinematic analysis are essential for coaches and athletes, prov...
OBJECTIVES: Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adul...
Purpose To develop a deep learning algorithm to predict 2-year neurodevelopmental outcomes in neonat...
The effective management of human resources in nursing is fundamental to ensuring high-quality care....
PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with n...
The effective management of human resources in nursing fundamental to ensuring high-quality care. Th...
Traditional model-based control methods require predictive models to design control policies. These ...