Latest AI and machine learning research in hematology for healthcare professionals.
Severe acute pancreatitis (SAP) is a life-threatening gastrointestinal emergency. The study aimed to identify biomarkers and investigate molecular mechanisms of SAP. The GSE194331 dataset from GEO database was analyzed using bioinformatics. Differentially expressed genes (DEGs) associated with SAP were identified, and a protein-protein interaction network (PPI) was constructed. Machine learning al...
Machine learning (ML) techniques have shown great potential in cardiovascular surgery, including real-time stenosis recognition, detection of stented coronary anomalies, and prediction of in-stent restenosis (ISR). However, estimating neointima evolution poses challenges for ML models due to limitations in manual measurements, variations in image quality, low data availability, and the difficulty ...
Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases rema...
In recent years, the integration of Artificial Intelligence (AI) into medicine has marked a transformative shift in healthcare practices. This study e...
The objective of this study is to compare the satisfaction of patients undergoing robot-assisted retroperitoneal laparoscopy adrenalectomy under the a...
Laparoscopic approach is the gold standard for repairing hiatal hernia (HH). Robotic technology is now widely accepted, but it is rarely used in child...
Hepcidin is secreted in inflammatory states as in patients on regular hemodialysis (HD). Therefore, novel agents modulating hepcidin secretion may hav...
Identifying COVID-19 through blood sample analysis is crucial in managing the disease and improving patient outcomes. Despite its advantages, the curr...
Hypertension is the leading cause of cardiovascular complications. This review focuses on the advancements in medical artificial intelligence (AI) mod...
Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyroidectomy (SP-TART) has been performed. We aimed t...
Chronic lymphocytic leukemia is a complex and heterogeneous hematological malignancy. The advance of high-throughput multi-omics technologies has sign...
Deep learning-based super-resolution ultrasound (DL-SRU) framework has been successful in improving spatial resolution and measuring the velocity fiel...
To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection under ambulatory mode. Patients who underwent robo...
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk patients and provide timely information to the ho...
The underrepresentation of the female population in exercise sciences could be attributed, at least in part, to difficulty in appropriately accounting...
BACKGROUND: Ischemic stroke (IS), caused by blood and oxygen deprivation due to cerebral thrombosis, has links to activated and aggregated platelets. ...
Annexin A5 is a phosphatidylserine binding protein with anti-inflammatory, anticoagulant and anti-apoptotic properties. Preclinical studies have show...
Cancer vaccines have been increasingly studied and developed to prevent or treat various types of cancers. To systematically survey and analyze differ...
Although medicinal plants have been used by ethnic communities since ancient times to prevent and treat various diseases, only a few have been scienti...
Clustered regularly interspaced short palindromic repeat (CRISPR)-based genome editing (GED) technologies have unlocked exciting possibilities for und...