AIMC Topic: Models, Statistical

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Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Spinal Neoplasms Middle Aged Humans Image Enhancement Contrast Media Algorithms Magnetic Resonance Imaging Signal-To-Noise Ratio Computer Simulation Models, Statistical Adult Diffusion Magnetic Resonance Imaging Female Image Interpretation, Computer-Assisted Sensitivity and Specificity Artifacts Reproducibility of Results Male Aged
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A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

The Knee Feb 28, 2025
BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL injury, but there are several factors which may lead to re-rupture or clinical failure. An intercondylar notch (or fossa) that is narrower may increas...
Female Male Deep Learning Humans Femur Imaging, Three-Dimensional Anterior Cruciate Ligament Injuries Models, Statistical Anterior Cruciate Ligament Reconstruction Knee Joint
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Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.

BMC public health Feb 25, 2025
OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for ...
Deep Learning Humans Acquired Immunodeficiency Syndrome China Forecasting Models, Statistical Incidence
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Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review.

Journal of clinical anesthesia Feb 19, 2025
Prediction of outcomes in perioperative medicine is key to decision-making and various prediction models have been created to help quantify and communicate those risks to both patients and clinicians. Increasingly, machine learning (ML) is being favo...
Perioperative Care Perioperative Medicine Machine Learning Algorithms Models, Statistical Humans
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Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model.

International journal of pharmaceutics Feb 15, 2025
We propose a novel approach for predicting the solid fraction after roller compaction processes. It is crucial to predict and control the solid fraction, as it has a significant impact on the product quality. The solid fraction can be theoretically p...
Drug Compounding Technology, Pharmaceutical Chemistry, Pharmaceutical Models, Statistical Particle Size Powders Machine Learning
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Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models.

International journal of computer assisted radiology and surgery Feb 14, 2025
PURPOSE: Statistical shape models (SSMs) are widely used for morphological assessment of anatomical structures. However, a key limitation is the need for a clear relationship between the model's shape coefficients and clinically relevant anatomical p...
Humans Tomography, X-Ray Computed Deep Learning Femur Imaging, Three-Dimensional Models, Statistical Nonlinear Dynamics
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Prediction models for treatment response in migraine: a systematic review and meta-analysis.

The journal of headache and pain Feb 12, 2025
BACKGROUND: Migraine is a complex neurological disorder with significant clinical variability, posing challenges for effective management. Multiple treatments are available for migraine, but individual responses vary widely, making accurate predictio...
Models, Statistical Humans Migraine Disorders Machine Learning Outcome Assessment, Health Care
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Classification and regression machine learning models for predicting mixed toxicity of carbamazepine and its transformation products.

Environmental research Feb 8, 2025
Carbamazepine (CBZ) and its transformation products (TPs) often occur in aquatic environments in the form of mixtures, posing potential risks to ecosystems. However, establishing standardized protocols for synthesizing, isolating, and acquiring these...
Carbamazepine Proflavine Vibrio Quantitative Structure-Activity Relationship Toxicity Tests Regression Analysis Anticonvulsants Acridines Machine Learning Water Pollutants, Chemical Models, Statistical
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models.

BMC medical informatics and decision making Feb 3, 2025
INTRODUCTION: Renal transplantation is a critical treatment for end-stage renal disease, but graft failure remains a significant concern. Accurate prediction of graft survival is crucial to identify high-risk patients. This study aimed to develop pro...
Middle Aged Graft Survival Ethiopia Female Adult Male Models, Statistical Kidney Failure, Chronic Humans Machine Learning Kidney Transplantation Prognosis
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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.

BMC pregnancy and childbirth Jan 30, 2025
BACKGROUND: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a l...
Perinatal Mortality Risk Factors Pregnancy Humans Models, Statistical Female Adult Artificial Intelligence Infant, Newborn Stillbirth Risk Assessment Prospective Studies Fetal Growth Retardation
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