AIMC Topic: Algorithms

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MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF).

PloS one Jul 2, 2025
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing state-of-the-art deep learning techniques, with the goal of minimizing the consequences of epilepsy on individuals and society. Current approaches fo...
Humans Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Epilepsy, Temporal Lobe Female Adult Male Deep Learning
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Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods.

Health and quality of life outcomes Jul 1, 2025
BACKGROUND: Preference-based measures of health-related quality of life (HRQoL), such as the Short Form Six-Dimension (SF-6D) is essential for health economic evaluations. However, these measures are rarely included in clinical trials for lung cancer...
Middle Aged Surveys and Questionnaires Quality of Life Female China Aged Psychometrics Humans Adult Lung Neoplasms Machine Learning Male Regression Analysis Algorithms
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stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning.

BMC biology Jul 1, 2025
BACKGROUND: Spatial transcriptomics now enables sequencing while preserving the spatial location of cells. This significantly enhances researchers' understanding of cellular and tissue functions in their spatial context. However, due to current techn...
Gene Expression Profiling Humans Transcriptome Neural Networks, Computer Algorithms
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The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules.

BMC cancer Jul 1, 2025
BACKGROUND AND AIMS: More cases of thyroid micro-nodules have been diagnosed annually in recent years because of advancements in diagnostic technologies and increased public health awareness. To explore the application value of various machine learni...
Diagnosis, Differential Humans Machine Learning Bayes Theorem Adult Algorithms Thyroid Nodule Male Tomography, X-Ray Computed ROC Curve Middle Aged Support Vector Machine Female Thyroid Neoplasms Aged
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Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images.

BMC ophthalmology Jul 1, 2025
BACKGROUND: This study aims to develop a deep learning-based algorithm dedicated to the automated classification of choroidal layers in en face swept-source optical coherence tomography (SS-OCT) images of the eye.
Female Young Adult Adult Male Middle Aged Deep Learning Choroid Humans Algorithms Tomography, Optical Coherence Healthy Volunteers
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Ultrasound-based machine learning model to predict the risk of endometrial cancer among postmenopausal women.

BMC medical imaging Jul 1, 2025
BACKGROUND: Current ultrasound-based screening for endometrial cancer (EC) primarily relies on endometrial thickness (ET) and morphological evaluation, which suffer from low specificity and high interobserver variability. This study aimed to develop ...
Endometrial Neoplasms Aged Sensitivity and Specificity Middle Aged Deep Learning Ultrasonography Neural Networks, Computer Humans Machine Learning Endometrium Algorithms Image Interpretation, Computer-Assisted Female Postmenopause
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Enhanced pulmonary nodule detection with U-Net, YOLOv8, and swin transformer.

BMC medical imaging Jul 1, 2025
RATIONALE AND OBJECTIVES: Lung cancer remains the leading cause of cancer-related mortality worldwide, emphasizing the critical need for early pulmonary nodule detection to improve patient outcomes. Current methods encounter challenges in detecting s...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Humans Algorithms
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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma.

BMC medical imaging Jul 1, 2025
OBJECTIVES: The composition of the tumour microenvironment is very complex, and measuring the extent of immune cell infiltration can provide an important guide to clinically significant treatments for cancer, such as immune checkpoint inhibition ther...
Male Middle Aged Kidney Neoplasms Carcinoma, Renal Cell Aged Tumor Microenvironment Radiomics Humans Machine Learning Algorithms Prognosis Tomography, X-Ray Computed Female
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Automated 3D segmentation of the hyoid bone in CBCT using nnU-Net v2: a retrospective study on model performance and potential clinical utility.

BMC medical imaging Jul 1, 2025
OBJECTIVE: This study aimed to identify the hyoid bone (HB) using the nnU-Net based artificial intelligence (AI) model in cone beam computed tomography (CBCT) images and assess the model's success in automatic segmentation.
Female Aged Adult Male Humans Artificial Intelligence Algorithms Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Middle Aged Hyoid Bone Cone-Beam Computed Tomography Imaging, Three-Dimensional
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Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning.

BMC infectious diseases Jul 1, 2025
OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) using advanced machine learning algorithms. The focus is on improving ...
Acute-On-Chronic Liver Failure Algorithms Bacterial Infections Retrospective Studies Hepatitis B virus Humans Female Hepatitis B Machine Learning Adult Male Logistic Models Middle Aged China ROC Curve
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