An Attention-Based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG

The IEEE “Transactions on Neural Systems and Rehabilitation Engineering” published a paper titled “Sleep Stage Classification Using Attention-Based Deep Learning for Single-Channel EEG” in Volume 29, 2021. The author of the article include Emadeldeen Edele, Zhenghua Chen, Chengyu Liu, Min Wu, Chee-Keong Kwoh, Xiaoli Li, and Cuntai Guan. The main go...

Feasibility, Safety, and Performance of Full-Head Subscalp EEG Using Minimally Invasive Electrode Implantation

Feasibility, Safety, and Performance of Full-Scalp Subdural EEG - A Report on Minimally Invasive Electrode Implantation Background and Purpose Since Berger first recorded human scalp electrical signals and discovered the alpha rhythm in 1929, the recording capabilities of electroencephalography (EEG) have significantly improved in terms of spatial ...

Method for Localizing the Seizure Onset Zone in Refractory Epilepsy Patients

In recent years, refractory epilepsy has received increasing attention from the medical community. Refractory epilepsy is defined as the continuing occurrence of severe seizures despite treatment with two appropriate antiepileptic drugs. For patients who are unresponsive to drug treatment, if the seizure onset zone (SOZ) can be accurately localized...

Metagenomic Next-Generation Sequencing, instead of Procalcitonin, Could Guide Antibiotic Usage in Patients with Febrile Acute Necrotizing Pancreatitis: A Multicenter, Prospective Cohort Study

Metagenomic Next-Generation Sequencing as an Alternative to Procalcitonin in Guiding Antibiotic Use in Patients with Acute Necrotizing Pancreatitis and Fever Background and Research Objectives Acute pancreatitis (AP) is one of the leading causes of emergency hospital admissions for digestive system diseases, with significant medical resource utiliz...

An Anatomo-Functional Study of the Interactivity Between the Paracentral Lobule and the Primary Motor Cortex

Neurosurgical Research: Anatomical and Functional Study of Connections between the Paracentral Lobule and Primary Motor Cortex In recent years, researchers have been continuously exploring the connections between different regions of the human brain, particularly those involving motor function and its plasticity. It is known that the paracentral lo...

Development and Validation of a Deep Learning Radiomics Model with Clinical-Radiological Characteristics for the Identification of Occult Peritoneal Metastases in Patients with Pancreatic Ductal Adenocarcinoma

Development and Validation of a Deep Learning Radiomics Model Combined with Clinical Radiological Features for Predicting Occult Peritoneal Metastasis in Patients with Pancreatic Ductal Adenocarcinoma Background Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy with a 5-year survival rate of approximately 11%. The poor progn...

Artificial Intelligence-Based Classification of Breast Lesion from Contrast Enhanced Mammography: A Multicenter Study

Multi-center Study on Artificial Intelligence-based Classification of Breast Lesions In the field of breast cancer, early diagnosis is crucial for improving treatment efficacy and survival rate. Breast cancer can be mainly divided into two categories: in situ carcinoma and invasive carcinoma, which have significant differences in treatment strategi...

Gliomatosis cerebri in children: a poor prognostic phenotype of diffuse gliomas with a distinct molecular profile

Childhood Gliomatosis Cerebri: A Poor Prognosis Phenotype of Diffuse Glioma with Distinct Molecular Characteristics Introduction Gliomatosis cerebri (GC) is a highly invasive form of diffuse glioma. It was initially discarded as an independent pathological type due to its indeterminate molecular characteristics. However, with the advancements in mo...

Raman-Based Machine Learning Platform Reveals Unique Metabolic Differences Between IDHmut and IDHwt Glioma

Study on Metabolic Differences between IDH Mutant and Wild-type Glioma Cells Using Raman Spectroscopy and Machine Learning Platform Background Introduction In the diagnosis and treatment of gliomas, formalin-fixed, paraffin-embedded (FFPE) tissue sections are commonly used. However, due to background noise interference from the embedding medium, th...