Method for Localizing the Seizure Onset Zone in Refractory Epilepsy Patients

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Neurosurgery,
refractory epilepsy   seizure onset zone   seizure   stereoelectroencephalography   interictal epileptiform discharge   traveling wave  

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...

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

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
deep learning   radiomics   occult peritoneal metastases   pancreatic ductal adenocarcinoma   computed tomography  

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...

Deep Learning Combining Mammography and Ultrasound Images to Predict the Malignancy of BI-RADS US 4a Lesions in Women with Dense Breasts: A Diagnostic Study

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
deep learning   mammography   ultrasound   dense breasts   BI-RADS 4a   breast neoplasms  

Research on Using Deep Learning to Combine Mammography and Ultrasound Images for Predicting Malignancy of BI-RADS US 4A Lesions in Women with Dense Breasts Background Breast cancer is the most common malignant tumor in women, with a relatively high incidence and mortality rate. Previous studies have found that women with dense breasts are more like...

Turning the Operating Room into a Mixed-Reality Environment: A Prospective Clinical Investigation for Cerebral Aneurysm Clipping

Turning the Operating Room into a Mixed-Reality Environment: A Prospective Clinical Investigation for Cerebral Aneurysm Clipping

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurosurgery, Medical Imaging, Life Sciences, Biophysics,
mixed reality   aneurysm clipping   3D models   spatial orientation   neuronavigation   vascular disorders  

Transforming the Operating Room into a Mixed Reality Environment: A Prospective Clinical Study on Aneurysm Clipping The surgical treatment of cerebral aneurysms is a highly complex and delicate process in neurosurgery. Researchers continue to explore new technologies and methods to improve surgical outcomes. In recent years, the development of Mixe...

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

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
breast lesions   artificial intelligence   diagnosis   mammography   deep learning  

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...

Radiomics-based Prediction of Local Control in Patients with Brain Metastases Following Postoperative Stereotactic Radiotherapy

Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery, Medical Imaging, Oncology,
radiomics   machine learning   local failure prediction   brain metastases   artificial intelligence  

Application of Radiomics in Predicting Local Control in Postoperative Stereotactic Radiotherapy for Brain Metastasis Patients Academic Background Brain Metastases (BMs) are the most common malignant brain tumors, far surpassing primary brain tumors like gliomas in incidence. Recent medical guidelines recommend surgical treatment for patients with s...