AIMC Topic: Female

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Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 29, 2025
Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation and rehabilitation, while the development of brain computer interface (BCI) technology has provided the possibility for direct control of SRF. However, ...
Brain Mapping Adult Humans Robotics Male Imagination Brain Psychomotor Performance Magnetic Resonance Imaging Female Fingers Neuronal Plasticity Brain-Computer Interfaces Young Adult Motor Cortex
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Flexor Synergy Assessment and Therapy for Persons With Stroke Using the ULIX Low Impedance Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 29, 2025
The flexor synergy after stroke results in involuntary activation of distal muscles when lifting the shoulder against gravity. This contributes to impaired ability to perform activities of daily living. Robotic exoskeletons can be useful in assessing...
Middle Aged Treatment Outcome Muscle, Skeletal Robotics Aged Adult Biomechanical Phenomena Male Humans Electric Impedance Equipment Design Female Stroke Rehabilitation Exoskeleton Device Electromyography Stroke Range of Motion, Articular
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"I don't know": An uncertainty-aware machine learning model for predicting patient disposition at emergency department triage.

International journal of medical informatics Apr 28, 2025
BACKGROUND: Machine learning (ML) models are widely used for predicting patient disposition at emergency department (ED) triage. However, these models generate predictions regardless of the level of uncertainty, potentially leading to overconfident o...
Female Aged Adult Male Middle Aged Humans Machine Learning Retrospective Studies Triage Emergency Service, Hospital Uncertainty
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Risk calculator for long-term survival prediction of spinal chordoma versus chondrosarcoma: a nationwide analysis.

Journal of neuro-oncology Apr 28, 2025
PURPOSE: Chordomas and chondrosarcomas are rare, aggressive spinal bone tumors with distinct origins, biological behavior, and treatment challenges, primarily due to their resistance to conventional chemotherapy and radiation. This study aimed to com...
Chondrosarcoma Chordoma Aged Young Adult Adult Survival Rate Risk Assessment Follow-Up Studies Spinal Neoplasms Male Middle Aged Machine Learning Prognosis Retrospective Studies Female Humans
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Predicting Recurrence After Surgical Resection for High-Risk Localized Renal Cell Carcinoma: A Radiomics Clinical Integration Approach.

The Journal of urology Apr 28, 2025
PURPOSE: Adjuvant immunotherapy for clear cell renal cell carcinoma (ccRCC) is controversial because of the absence of reliable biomarkers for identifying patients most likely to benefit. The aim of this study was to develop and validate a quantitati...
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Prognosis Neoplasm Recurrence, Local Disease-Free Survival Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy Radiomics Male Middle Aged Risk Assessment
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A Comparative Bicentric Study on Ultrasound Education for Students: App- and AI-Supported Learning Versus Traditional Hands-on Instruction (AI-Teach Study).

Academic radiology Apr 28, 2025
BACKGROUND: The integration of artificial intelligence (AI) into medical education presents significant opportunities for enhancing teaching methods and student learning outcomes. Despite its potential benefits, the implementation of AI in curricula ...
Ultrasonography Mobile Applications Radiology Curriculum Education, Medical, Undergraduate Computer-Assisted Instruction Male Pilot Projects Clinical Competence Educational Measurement Humans Artificial Intelligence Female Students, Medical
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Machine learning models for minimizing aggravation in work-related musculoskeletal disorders among slaughterhouse workers.

Work (Reading, Mass.) Apr 28, 2025
BackgroundWork-related musculoskeletal disorders (WMSDs) are common in Brazilian slaughterhouses. The repetitive and strenuous nature of meat processing, especially in slaughterhouses, makes employees highly susceptible to developing WMSDs. Prolonged...
Brazil Data Mining Musculoskeletal Diseases Abattoirs Risk Factors Adult Male Middle Aged Occupational Diseases Humans Machine Learning Female
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MED-NCA: Bio-inspired medical image segmentation.

Medical image analysis Apr 28, 2025
The reliance on computationally intensive U-Net and Transformer architectures significantly limits their accessibility in low-resource environments, creating a technological divide that hinders global healthcare equity, especially in medical diagnost...
Female Humans Male Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A Deep Learning Approach for Nerve Injury Classification in Brachial Plexopathies Using Magnetic Resonance Neurography with Modified Hiking Optimization Algorithm.

Academic radiology Apr 28, 2025
RATIONALE AND OBJECTIVES: Brachial plexopathies (BPs) encompass a complex spectrum of nerve injuries affecting motor and sensory function in the upper extremities. Diagnosis is challenging due to the intricate anatomy and symptom overlap with other n...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Brachial Plexus Neuropathies Peripheral Nerve Injuries Image Interpretation, Computer-Assisted Brachial Plexus Humans Algorithms Female Adult
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Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

Esophagus : official journal of the Japan Esophageal Society Apr 28, 2025
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical approach after neoadjuvant chemotherapy (NAC). We previously developed a deep neural network-based endoscopic evaluation to determine pCR preoperativ...
Humans Treatment Outcome Neoadjuvant Therapy Predictive Value of Tests Esophageal Neoplasms Chemotherapy, Adjuvant Sensitivity and Specificity Neural Networks, Computer Esophagoscopy Male Retrospective Studies Japan Pathologic Complete Response Female Middle Aged Esophageal Squamous Cell Carcinoma Aged Deep Learning
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