AIMC Topic: Middle Aged

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Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.

PloS one Mar 18, 2025
OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly individuals in China.
Cross-Sectional Studies Surveys and Questionnaires Male Middle Aged China Humans Depression Machine Learning Female Aged
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Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 18, 2025
The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve reach in individuals with chro...
Discriminant Analysis Humans Female Machine Learning Electromyography Aged Pattern Recognition, Automated Algorithms Stroke Adult Movement Biomechanical Phenomena Feasibility Studies Survivors Middle Aged Male Arm Stroke Rehabilitation Wearable Electronic Devices Muscle, Skeletal Robotics
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Automatic bone age assessment: a Turkish population study.

Diagnostic and interventional radiology (Ankara, Turkey) Mar 17, 2025
PURPOSE: Established methods for bone age assessment (BAA), such as the Greulich and Pyle atlas, suffer from variability due to population differences and observer discrepancies. Although automated BAA offers speed and consistency, limited research e...
Aged Young Adult Adult Male Middle Aged Humans Algorithms Female Child Radiography Turkey Age Determination by Skeleton Hand Bones Infant Deep Learning Adolescent Child, Preschool
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Comparing two deep learning spectral reconstruction levels for abdominal evaluation using a rapid-kVp-switching dual-energy CT scanner.

Abdominal radiology (New York) Mar 17, 2025
PURPOSE: Deep Learning Spectral Reconstruction (DLSR) potentially improves dual-energy CT (DECT) image quality, but there is a paucity of research involving human abdominal DECT scans. The purpose of this study was to comprehensively evaluate image q...
Humans Algorithms Aged, 80 and over Adult Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Radiography, Abdominal Radiography, Dual-Energy Scanned Projection
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Diagnosis of moderate-to-severe hepatic steatosis using deep learning-based automated attenuation measurements on contrast-enhanced CT.

Abdominal radiology (New York) Mar 17, 2025
PURPOSE: To evaluate the utility of deep learning-based automated attenuation measurements on contrast-enhanced CT (CECT) for diagnosing moderate-to-severe hepatic steatosis (HS), using histology as reference standard.
Radiographic Image Enhancement Sensitivity and Specificity Male Middle Aged Severity of Illness Index Deep Learning Fatty Liver Contrast Media Humans Liver Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Adult
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Artificial intelligence-based incisive canal visualization for preventing and detecting post-implant injury, using cone beam computed tomography.

International journal of oral and maxillofacial surgery Mar 17, 2025
The aim of this study was to clinically validate an artificial intelligence (AI)-based tool for automatic segmentation of the mandibular incisive canal (MIC) on cone beam computed tomography (CBCT), enabling prevention and detection of iatrogenic imp...
Middle Aged Female Cone-Beam Computed Tomography Aged Humans Aged, 80 and over Imaging, Three-Dimensional Male Artificial Intelligence Trigeminal Nerve Injuries Dental Implantation, Endosseous
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Preoperative Assessment of Ki-67 Labeling Index in Pituitary Adenomas Using Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Mar 17, 2025
BACKGROUND: Ki-67 labeling index (Ki-67 LI) is a proliferation marker that is correlated with aggressive behavior and prognosis of pituitary adenomas (PAs). Dynamic contrast-enhanced MRI (DCE-MRI) may potentially contribute to the preoperative assess...
Adenoma Preoperative Care Ki-67 Antigen ROC Curve Contrast Media Magnetic Resonance Imaging Pituitary Neoplasms Humans Retrospective Studies Female Reproducibility of Results Aged Adult Radiomics Male Middle Aged
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Utility of comprehensive genomic profiling combined with machine learning for prognostic stratification in stage II/III colorectal cancer after adjuvant chemotherapy.

International journal of clinical oncology Mar 17, 2025
BACKGROUND AND PURPOSE: Accurate recurrence risk evaluation in patients with stage II and III colorectal cancer (CRC) remains difficult. Traditional histopathological methods frequently fall short in predicting outcomes after adjuvant chemotherapy. T...
Middle Aged Gene Expression Profiling Neoplasm Staging Neoplasm Recurrence, Local Chemotherapy, Adjuvant Humans Adult Machine Learning Colorectal Neoplasms Prognosis Biomarkers, Tumor Female Male Aged
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Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers.

Annals of clinical and translational neurology Mar 17, 2025
OBJECTIVE: Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk-prediction model incorpor...
Humans Machine Learning Biomarkers Female Aged Colorectal Neoplasms Male Middle Aged Postoperative Complications Delirium Emergence Delirium
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Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Neuroradiology Mar 17, 2025
PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learnin...
Deep Learning Imaging, Three-Dimensional Cerebrovascular Disorders Image Interpretation, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Magnetic Resonance Angiography Female Aged Adult Male Humans Middle Aged Retrospective Studies
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