AIMC Topic: Models, Statistical

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An ensemble approach improves the prediction of the COVID-19 pandemic in South Korea.

Journal of global health Mar 28, 2025
BACKGROUND: Modelling can contribute to disease prevention and control strategies. Accurate predictions of future cases and mortality rates were essential for establishing appropriate policies during the COVID-19 pandemic. However, no single model yi...
Republic of Korea SARS-CoV-2 Models, Statistical COVID-19 Forecasting Humans Machine Learning Pandemics
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An Interpretable Model With Probabilistic Integrated Scoring for Mental Health Treatment Prediction: Design Study.

JMIR medical informatics Mar 26, 2025
BACKGROUND: Machine learning (ML) systems in health care have the potential to enhance decision-making but often fail to address critical issues such as prediction explainability, confidence, and robustness in a context-based and easily interpretable...
Denmark Surveys and Questionnaires Models, Statistical Humans Female Machine Learning Mental Disorders Adult Male
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Machine learning models for prediction of NPVR ≥80% with HIFU ablation for uterine fibroids.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Mar 23, 2025
BACKGROUND: Currently high-intensity focused ultrasound (HIFU) is widely used to treat uterine fibroids (UFs). The aim of this study is to develop a machine learning model that can accurately predict the efficacy of HIFU ablation for UFs, assisting t...
Retrospective Studies Female Adult Middle Aged Treatment Outcome Models, Statistical Humans Machine Learning Uterine Neoplasms Leiomyoma High-Intensity Focused Ultrasound Ablation
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Current experimental, statistical, and mechanistic approaches to optimizing biomolecule separations in aqueous two-phase systems.

Journal of chromatography. A Mar 17, 2025
Aqueous two-phase systems (ATPS) have been used to purify a range of biomolecules, including small molecules, monoclonal antibodies, viruses, and whole cells. They are known for selective separations, creating a stabilizing, low-shear environment, an...
Water Models, Statistical Models, Chemical Proteins Thermodynamics
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Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning.

IEEE transactions on medical imaging Mar 17, 2025
Label scarcity, class imbalance and data uncertainty are three primary challenges that are commonly encountered in the semi-supervised medical image segmentation. In this work, we focus on the data uncertainty issue that is overlooked by previous lit...
Supervised Machine Learning Humans Algorithms Image Processing, Computer-Assisted Models, Statistical Diagnostic Imaging
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Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol.

PloS one Mar 11, 2025
INTRODUCTION: Osteoporosis, a common condition characterised by decreased bone mass and microarchitectural deterioration, leading to increased fracture risk, is a significant health concern. Traditional diagnostic methods, such as Dual-energy X-ray A...
Systematic Reviews as Topic Bone Density Absorptiometry, Photon Humans Osteoporosis Bone and Bones Machine Learning Models, Statistical
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Introduction of a hybrid approach based on statistical shape model and Adaptive Neural Fuzzy Inference System (ANFIS) to assess dosimetry uncertainty: A Monte Carlo study.

Computers in biology and medicine Mar 10, 2025
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risks for individuals. Therefore, to evaluate the range of risks and protection against ionizing radiation, it is necessary to assess the dosimetry calcul...
Models, Statistical Monte Carlo Method Phantoms, Imaging Humans Radiometry Lung Uncertainty Fuzzy Logic
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Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review.

BMJ open Mar 3, 2025
OBJECTIVES: To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models.
Postpartum Hemorrhage Female Risk Factors Models, Statistical Machine Learning Pregnancy Humans
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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...
Contrast Media Magnetic Resonance Imaging Models, Statistical Sensitivity and Specificity Male Algorithms Middle Aged Computer Simulation Image Enhancement Female Humans Signal-To-Noise Ratio Reproducibility of Results Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Aged Artifacts Adult Spinal Neoplasms
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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...
Male Deep Learning Imaging, Three-Dimensional Humans Female Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Models, Statistical Knee Joint Femur
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