AIMC Topic: Middle Aged

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A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography.

BMC medical imaging Jul 9, 2025
BACKGROUND: In most medical centers, particularly in primary hospitals, non-contrast computed tomography (NCCT) serves as the primary imaging modality for diagnosing acute ischemic stroke. However, due to the small density difference between the infa...
Male Humans Middle Aged Machine Learning Retrospective Studies Ischemic Stroke Tomography, X-Ray Computed Diffusion Magnetic Resonance Imaging Female Aged Aged, 80 and over
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Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images.

Scientific reports Jul 9, 2025
Magnetic resonance imaging of the lumbar spine is a key technique for clarifying the cause of disease. The greatest challenges today are the repetitive and time-consuming process of interpreting these complex MR images and the problem of unequal diag...
Lumbar Vertebrae Image Interpretation, Computer-Assisted Middle Aged Intervertebral Disc Displacement Humans Deep Learning Image Processing, Computer-Assisted Female Magnetic Resonance Imaging Adult Male
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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.

Scientific reports Jul 9, 2025
Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models fo...
ROC Curve Longitudinal Studies Multimorbidity Humans Aged, 80 and over Male Middle Aged China Machine Learning Female Risk Factors Aged
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Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care.

Scientific reports Jul 9, 2025
Facial palsy (FP) can lead to significant psychological and physical burdens such as facial synkinesis. This involuntary simultaneous movement of facial musculature remains challenging to diagnose and treat. This study aimed to develop a cost-effecti...
Female Young Adult Adult Male Middle Aged Facial Paralysis Synkinesis Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Exploring explainable machine learning algorithms to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023.

Scientific reports Jul 9, 2025
Tobacco smoking is a significant public health issue in sub-Saharan Africa, with its prevalence shaped by various demographic factors. This study aimed to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023 using mach...
Humans Africa South of the Sahara Male Tobacco Use Middle Aged Machine Learning Prevalence Algorithms Adolescent Young Adult Adult
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MMDental - A multimodal dataset of tooth CBCT images with expert medical records.

Scientific data Jul 9, 2025
In the rapidly evolving field of dental intelligent healthcare, where Artificial Intelligence (AI) plays a pivotal role, the demand for multimodal datasets is critical. Existing public datasets are primarily composed of single-modal data, predominant...
Tooth Child Cone-Beam Computed Tomography Imaging, Three-Dimensional Medical Records Male Middle Aged Adolescent Humans Artificial Intelligence Female Aged Young Adult Adult
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Machine learning for synchronous bone metastasis risk prediction in high grade lung neuroendocrine carcinoma.

Scientific reports Jul 9, 2025
Bone metastasis (BM) is common in high-grade lung neuroendocrine tumors (NETs). This study aimed to use multiple machine learning algorithms to exploring the significant factors associated with synchronous BM in these patients. Patients diagnosed wit...
Carcinoma, Neuroendocrine SEER Program Kaplan-Meier Estimate Small Cell Lung Carcinoma Middle Aged Incidence Lung Neoplasms Bone Neoplasms Humans Machine Learning Prognosis Female Risk Factors Aged Male
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Predicting time-to-first cancer diagnosis across multiple cancer types.

Scientific reports Jul 9, 2025
Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. However, predicting ti...
Male Middle Aged Neoplasms Time Factors Humans Machine Learning Female Aged Lung Neoplasms Early Detection of Cancer Proportional Hazards Models
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Advantages and effectiveness of AI three-dimensional reconstruction technology in the preoperative planning of total hip arthroplasty.

Scientific reports Jul 9, 2025
In order to explore the application effect of artificial intelligence (AI) 3D reconstruction technology in total hip arthroplasty (THA), this study included a total of 109 patients with unilateral femoral head ischemic necrosis. According to the preo...
Femur Head Necrosis Hip Prosthesis Male Middle Aged Artificial Intelligence Length of Stay Female Treatment Outcome Imaging, Three-Dimensional Humans Aged Operative Time Adult Arthroplasty, Replacement, Hip Preoperative Care
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Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports Jul 9, 2025
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...
Female Aged Young Adult Adult Humans Neural Networks, Computer Muscle, Skeletal Walking Gait Male Gait Analysis Middle Aged Deep Learning Wearable Electronic Devices
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