AIMC Topic: Retrospective Studies

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Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis.

European journal of radiology Mar 14, 2025
PURPOSE: For patients suffering from differentiated thyroid cancer (DTC), several clinical, laboratory, and pathological features (including patient age, tumor size, extrathyroidal extension, or serum thyroglobulin levels) are currently used to ident...
Germany Humans Boosting Machine Learning Algorithms Machine Learning Middle Aged Aged Risk Assessment Adult Thyroid Neoplasms Sensitivity and Specificity Neoplasm Recurrence, Local Biomarkers, Tumor Male Prognosis Retrospective Studies Female Reproducibility of Results Risk Factors
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Subphenotyping prone position responders with machine learning.

Critical care (London, England) Mar 14, 2025
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying response to prone positioning. We aimed to identify subphenotypes of ARDS patients undergoing prone positioning using machine learning and assess their a...
Male Middle Aged Respiration, Artificial Respiratory Distress Syndrome Prone Position Phenotype Humans Retrospective Studies Machine Learning Female COVID-19 Aged Adult
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Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study.

Frontiers in endocrinology Mar 14, 2025
Hypothyroidism, a common endocrine disorder, has a high incidence in women and increases with age. Levothyroxine (LT4) is the standard therapy; however, achieving clinical and biochemical euthyroidism is challenging. Therefore, developing an accurate...
Thyroxine Aged Humans Adult Machine Learning Male Retrospective Studies Middle Aged Female Hypothyroidism
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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China.

Frontiers in cellular and infection microbiology Mar 14, 2025
PURPOSE: This study aimed to develop and validate a novel web-based calculator using machine learning algorithms to predict fragility fracture risk in People living with HIV (PLWH), who face increased morbidity and mortality from such fractures.
ROC Curve Fractures, Bone Internet Middle Aged Risk Assessment China HIV Infections Humans Machine Learning Algorithms Retrospective Studies Female Risk Factors Aged Adult Male
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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.

Renal failure Mar 13, 2025
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk for post-contrast acute kidney injury (PC-AKI), yet there are few predictive tools specifically designed for this vulnerable population.
Coronary Angiography Percutaneous Coronary Intervention Deep Learning ROC Curve Renal Insufficiency, Chronic Contrast Media Humans Predictive Value of Tests Retrospective Studies Aged Acute Kidney Injury Male Female Middle Aged Risk Factors Risk Assessment
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Establishing a Deep Learning Model That Integrates Pretreatment and Midtreatment Computed Tomography to Predict Treatment Response in Non-Small Cell Lung Cancer.

International journal of radiation oncology, biology, physics Mar 13, 2025
PURPOSE: Patients with identical stages or similar tumor volumes can vary significantly in their responses to radiation therapy (RT) due to individual characteristics, making personalized RT for non-small cell lung cancer (NSCLC) challenging. This st...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Humans Retrospective Studies Treatment Outcome Carcinoma, Non-Small-Cell Lung Area Under Curve Tumor Burden Radiotherapy Dosage Male Middle Aged Deep Learning ROC Curve Lung Neoplasms
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DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Magnetic resonance imaging Mar 13, 2025
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer.
Female Aged Adult Breast Neoplasms Ki-67 Antigen Middle Aged Dynamic Contrast Enhanced Magnetic Resonance Imaging Humans Deep Learning Algorithms Contrast Media Retrospective Studies Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Image Interpretation, Computer-Assisted Ventricular Function, Right Pulmonary Valve Insufficiency Young Adult Machine Learning Adult Severity of Illness Index Prognosis Male Adolescent Retrospective Studies Stroke Volume Chronic Disease Female Humans Echocardiography Predictive Value of Tests Reproducibility of Results Ventricular Dysfunction, Right
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Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 13, 2025
BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic resonance imaging (MRI) is essential for effective treatment and surgical planning.
Magnetic Resonance Imaging Spinal Neoplasms Pelvic Neoplasms Sacrum Humans Retrospective Studies Female Aged Adult Male Middle Aged Deep Learning
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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.

BMC cancer Mar 13, 2025
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomic features, develop multi-source radiomic models using various machine learning algorithms to identify the optimal model, and integrate clinical facto...
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Middle Aged Lung Neoplasms Nomograms Treatment Outcome Support Vector Machine Female Aged Adult Radiomics Male Carcinoma, Non-Small-Cell Lung Tumor Burden Induction Chemotherapy
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