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Machine learning models for predicting metabolic dysfunction-associated steatotic liver disease prevalence using basic demographic and clinical characteristics.

Journal of translational medicine Mar 28, 2025
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a global health concern that necessitates early screening and timely intervention to improve prognosis. The current diagnostic protocols for MASLD involve complex procedu...
Middle Aged Prevalence Reproducibility of Results Cohort Studies Aged ROC Curve Adult Male Humans Fatty Liver Machine Learning Metabolic Diseases Female Demography
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Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach.

Head & face medicine Mar 28, 2025
BACKGROUND: Facial aesthetics is one of major motivations for seeking orthodontic treatment. However, even for experienced professionals, the impact and extent of incisor and soft tissue changes remain largely empirical. With the application of inter...
Male Adolescent Cephalometry Face Neural Networks, Computer Humans Machine Learning Female Young Adult Malocclusion Orthodontics, Corrective Incisor Esthetics, Dental
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Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

BMC medical informatics and decision making Mar 28, 2025
BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantly contributes to high mortality rates. This study aims to construct a mortality prediction model for patients with SICH using four various artificial ...
Cerebral Hemorrhage Aged, 80 and over Adult Male Middle Aged Intensive Care Units Humans Female Aged Artificial Intelligence Machine Learning Retrospective Studies
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Development and evaluation of a machine learning model for osteoporosis risk prediction in Korean women.

BMC women's health Mar 28, 2025
BACKGROUND: The aim of this study was to develop a machine learning (ML) model for classifying osteoporosis in Korean women based on a large-scale population cohort study. This study also aimed to assess ML model performance compared with traditional...
Humans Machine Learning Osteoporosis Adult Republic of Korea Middle Aged Female Risk Assessment Risk Factors Cohort Studies Aged
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Machine learning in lymphocyte and immune biomarker analysis for childhood thyroid diseases in China.

BMC pediatrics Mar 28, 2025
OBJECTIVE: This study aims to characterize and analyze the expression of representative biomarkers like lymphocytes and immune subsets in children with thyroid disorders. It also intends to develop and evaluate a machine learning model to predict if ...
Hashimoto Disease ROC Curve Cross-Sectional Studies Hypothyroidism Male Graves Disease Humans Case-Control Studies China Machine Learning Adolescent Biomarkers Thyroid Diseases Female Child, Preschool Child
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A deep learning model for classification of chondroid tumors on CT images.

BMC cancer Mar 28, 2025
BACKGROUND: Differentiating chondroid tumors is crucial for proper patient management. This study aimed to develop a deep learning model (DLM) for classifying enchondromas, atypical cartilaginous tumors (ACT), and high-grade chondrosarcomas using CT ...
Chondrosarcoma Chondroma Female Aged Adult Male Middle Aged Deep Learning Bone Neoplasms Diagnosis, Differential Humans Retrospective Studies Tomography, X-Ray Computed
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Footwork recognition and trajectory tracking in track and field based on image processing.

Scientific reports Mar 28, 2025
In track and field sports, footwork can greatly affect the effect and performance of sports. Accurate footwork can effectively improve the performance of professional athletes, and for ordinary trainers, it can reduce the probability of training inju...
Female Male Adolescent Image Processing, Computer-Assisted Humans Algorithms Track and Field Support Vector Machine Athletic Performance Athletes Video Recording
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Explainable machine learning to compare the overall survival status between patients receiving mastectomy and breast conserving surgeries.

Scientific reports Mar 28, 2025
The most prevalent malignancy among women is breast cancer; hence, treatment approaches are needed in consideration of tumor characteristics and disease stage but also patient preference. Two surgical options, Mastectomy and Breast Conserving Surgery...
Humans Machine Learning Prognosis Female Middle Aged ROC Curve Mastectomy Mastectomy, Segmental Aged Adult Breast Neoplasms
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Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization.

Scientific reports Mar 28, 2025
This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney injury (AKI) in diabetic patients with heart failure (HF) during hospitalization. Using data from 1,457 patients in the MIMIC-IV database, the study ide...
Diabetes Mellitus Heart Failure Aged Male Middle Aged Risk Assessment Humans Machine Learning Algorithms Prognosis Acute Kidney Injury Female Risk Factors Hospitalization
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A deep learning approach to remotely assessing essential tremor with handwritten images.

Scientific reports Mar 28, 2025
Essential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life. Traditional methods for assessing ET severity are often time-consuming, subjective, an...
Humans Female Severity of Illness Index Deep Learning Handwriting Essential Tremor Aged Aged, 80 and over Male Middle Aged
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