AIMC Topic: Middle Aged

Clear Filters Showing 8251 to 8260 of 17155 articles

Predicting incomplete occlusion of intracranial aneurysms treated with flow diverters using machine learning models.

Journal of neurosurgery
OBJECTIVE: Intracranial saccular aneurysms are vascular malformations responsible for 80% of nontraumatic brain hemorrhage. Recently, flow diverters have been used as a less invasive therapeutic alternative for surgery. However, they fail to achieve ...

Machine Learning Model with Computed Tomography Radiomics and Clinicobiochemical Characteristics Predict the Subtypes of Patients with Primary Aldosteronism.

Academic radiology
RATIONALE AND OBJECTIVES: Adrenal venous sampling (AVS) is the primary method for differentiating between primary aldosterone (PA) subtypes. The aim of study is to develop prediction models for subtyping of patients with PA using computed tomography ...

Comparison of Ultrasound-Guided Anterior, Posterior and Combination of Quadratus Lumborum Block in Laparoscopic Abdominal Surgeries: A Pilot Study.

Asian journal of anesthesiology
BACKGROUND: The quadratus lumborum block (QLB) is an effective technique to provide analgesia for upper and lower abdominal surgeries. There are various approaches described in the literature, but the best approach is still to be explored. This study...

Deep learning-based automatic segmentation of bone graft material after maxillary sinus augmentation.

Clinical oral implants research
OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material segmentation after maxillary sinus augmentation (SA) from cone-beam computed tomography (CBCT) images.

Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery.

The Journal of thoracic and cardiovascular surgery
BACKGROUND: The clinical applicability of machine learning predictions of patient outcomes following cardiac surgery remains unclear. We applied machine learning to predict patient outcomes associated with high morbidity and mortality after cardiac s...

Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Glioma grading transformed in World Health Organization (WHO) 2021 CNS tumor classification, integrating molecular markers. However, the impact of this change on radiomics-based machine learning (ML) classifiers remains unexplored.

Usability study of a smart transfer-assistive robot with dual arms for care workers.

Disability and rehabilitation. Assistive technology
PURPOSE: The predicted global labor shortages and health problems for long-term care workers can be addressed by care robots. We have developed a smart transfer-assistive robot with dual arms to assist in patient transfers. This study aims to evaluat...

Machine Learning Web Application for Predicting Functional Outcomes in Patients With Traumatic Spinal Cord Injury Following Inpatient Rehabilitation.

Journal of neurotrauma
Accurately predicting functional outcomes in patients with spinal cord injury (SCI) helps clinicians set realistic functional recovery goals and improve the home environment after discharge. The present study aimed to develop and validate machine lea...

Feasibility and accuracy of a task-autonomous robot for zygomatic implant placement.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Zygomatic implants (ZIs) should be placed accurately as planned preoperatively to minimize complications and maximize the use of the remaining bone. Current digital techniques such as static guides and dynamic navigation are aff...