AIMC Topic: Female

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Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Scientific reports Jul 2, 2025
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks trained on MRI data can enhance diagnostic precisi...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Female Humans Aged Neural Networks, Computer Male Brain Deep Learning
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Cervical cancer prediction using machine learning models based on routine blood analysis.

Scientific reports Jul 2, 2025
Cervical cancer (CC) is the fourth most common cancer among women globally. The key to preventing and treating CC is early detection, diagnosis, and treatment. This study aimed to develop an interpretable model for predicting CC risk using routine bl...
Female Humans Uterine Cervical Neoplasms Aged Machine Learning Middle Aged Adult Algorithms Retrospective Studies
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Machine learning model and hemoglobin to red cell distribution width ratio evaluates all-cause mortality in pulmonary embolism.

Scientific reports Jul 2, 2025
The ratio of hemoglobin (Hb) to red blood cell distribution width (RDW), known as HRR, functions as an innovative indicator related to prognosis. However, whether HRR can predict the mortality for pulmonary embolism (PE) patients remains ambiguous. A...
Humans Male Machine Learning Erythrocyte Indices Prognosis Proportional Hazards Models Middle Aged Retrospective Studies Pulmonary Embolism Female Hemoglobins Aged
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The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.

Scientific reports Jul 2, 2025
Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment for port-wine stain (PWS). Comprehensive methods for predicting HMME-PDT efficacy based on clinical factors are lacking. This study aims to develop and...
Young Adult Adult Male Adolescent Hematoporphyrins Humans Machine Learning Photochemotherapy Child, Preschool Algorithms Photosensitizing Agents Child Retrospective Studies Port-Wine Stain Treatment Outcome Female
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Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes.

Scientific reports Jul 2, 2025
This study leveraged machine learning (ML) models to explore the relationship between three-dimensional (3D) spinal alignment parameters and clinical outcomes in patients suffering from fibromyalgia syndrome (FMS). A cohort of 303 FMS patients, diagn...
Adult Male Middle Aged Surveys and Questionnaires Imaging, Three-Dimensional Humans Spine Machine Learning Fibromyalgia Female
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Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.

Scientific reports Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Middle Aged Adolescent Disability Evaluation Low Back Pain Humans Finland International Classification of Functioning, Disability and Health Aged Machine Learning Young Adult Electronic Health Records Adult Female Male
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Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c...
Adult Biomechanical Phenomena Male Anxiety Machine Learning Female Young Adult Gait Gait Analysis Anxiety Disorders Depression Support Vector Machine Bayes Theorem Humans
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A multi-modal graph-based framework for Alzheimer's disease detection.

Scientific reports Jul 2, 2025
We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer's disease (AD) detection that constructs complex ML predictors from modular components. In our directed computational graph, datasets are represented as nodes [Formu...
Humans Machine Learning Deep Learning Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Female Alzheimer Disease Male
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A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions.

Scientific reports Jul 2, 2025
In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy (CE), with the goal of improving the efficiency of the reading process. While most AI models have been developed for small bowel and colon analysis, t...
Humans Esophageal Neoplasms Sensitivity and Specificity Neural Networks, Computer Capsule Endoscopy Male Female Middle Aged Aged Deep Learning
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Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data.

Scientific reports Jul 2, 2025
Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlighting the need for improved prognostic models. This study aims to develop and compare machine learning models for predicting five-year cause-specific su...
Machine Learning Middle Aged Prognosis SEER Program Retrospective Studies Aged Survival Analysis Humans Female Adult Proportional Hazards Models Survival Rate Uterine Cervical Neoplasms
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