Latest AI and machine learning research in critical care for healthcare professionals.
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals w...
Latest developments in spatial transcriptomics enable thoroughly profiling of gene expression while ...
Intracranial Hemorrhage (ICH) refers to cerebral bleeding resulting from ruptured blood vessels with...
Real-world applications, particularly in the medical field, often handle irregular time signals (ITS...
Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperativ...
Early detection of brain tumors in MRI images is vital for improving treatment results. However, dee...
Coughing behavior is associated with conditions such as sleep apnea, asthma, and chronic obstructive...
AIM: The use of artificial intelligence (AI) and machine learning (ML) is increasingly widespread in...
Cardiac arrhythmias are irregular heart rhythms that, if undetected, can lead to severe cardiovascul...
BACKGROUND: Artificial Intelligence (AI) is capable of revolutionizing cancer therapy and advancing ...
OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage r...
Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, an...
INTRODUCTION: Respiratory diseases like pneumonia, asthma, and COPD are major global health concerns...
OBJECTIVE: The aim of this study was to develop and externally validate a machine-learning model tha...
BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method i...
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical...
Traditional Chinese herbal medicine has long been recognized as an effective natural therapy. Recent...
INTRODUCTION: The number of published medical articles on peritoneal dialysis (PD) has been increasi...
Recent advances in prototypical learning have shown remarkable potential to provide useful decision ...
Accurate diagnosis of cerebral tumors is crucial for effective clinical therapeutics and prognosis. ...
Single-cell multi-omics sequencing technology comprehensively considers various molecular features t...