AIMC Topic: Retrospective Studies

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Development and external validation of a machine learning model to predict bronchopulmonary dysplasia using dynamic factors.

Scientific reports Apr 19, 2025
We hypothesized that incorporating postnatal dynamic factors would enhance the prediction accuracy of bronchopulmonary dysplasia in preterm infants. This retrospective cohort study included neonates born before 32 weeks of gestation at Seoul National...
Humans Machine Learning Retrospective Studies Female Infant, Newborn Risk Factors Male Bronchopulmonary Dysplasia ROC Curve Infant, Premature Gestational Age Blood Gas Analysis
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Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study.

Scientific reports Apr 19, 2025
This study aimed to explore potential risk factors for severe endometriosis and to develop a model to predict the risk of severe endometriosis. A total of 308 patients with endometriosis were analyzed. Least absolute shrinkage and selection operator ...
Endometriosis Risk Factors Young Adult Machine Learning Adult Humans Algorithms Risk Assessment Retrospective Studies Severity of Illness Index Female
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Prediction of early recurrence in primary central nervous system lymphoma based on multimodal MRI-based radiomics: A preliminary study.

European journal of radiology Apr 18, 2025
OBJECTIVES: To evaluate the role of multimodal magnetic resonance imaging radiomics features in predicting early recurrence of primary central nervous system lymphoma (PCNSL) and to investigate their correlation with patient prognosis.
Central Nervous System Neoplasms Multimodal Imaging Predictive Value of Tests Neoplasm Recurrence, Local Methotrexate Retrospective Studies Female Aged Adult Radiomics Humans Male Prognosis Middle Aged Lymphoma Magnetic Resonance Imaging
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Machine Learning-Based Diagnostic Prediction Model Using T1-Weighted Striatal Magnetic Resonance Imaging for Early-Stage Parkinson's Disease Detection.

Academic radiology Apr 18, 2025
RATIONALE AND OBJECTIVES: Diagnosing Parkinson's disease (PD) typically relies on clinical evaluations, often detecting it in advanced stages. Recently, artificial intelligence has increasingly been applied to imaging for neurodegenerative disorders....
Humans Machine Learning Retrospective Studies Female Magnetic Resonance Imaging Parkinson Disease Image Interpretation, Computer-Assisted Early Diagnosis Putamen Aged Sensitivity and Specificity Male Middle Aged Case-Control Studies
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Artificial neural network model enhancing the accuracy of clinical evaluation for high-risk population of lymph node metastasis in non-intestinal type early gastric cancer: a multicenter real-world study in China.

International journal of surgery (London, England) Apr 18, 2025
BACKGROUND: Recent years have witnessed a proliferation of studies aimed at developing clinical models capable of predicting lymph node metastasis (LNM) in early gastric cancer (EGC), yet tools for prediction grounded in the Lauren classification rem...
Middle Aged Risk Assessment China Nomograms Lymphatic Metastasis Female Aged Adult Stomach Neoplasms Male Humans Neural Networks, Computer Prognosis Retrospective Studies
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Updated perspectives on visceral pleural invasion in non-small cell lung cancer: A propensity score-matched analysis of the SEER database.

Current problems in cancer Apr 18, 2025
BACKGROUND: Visceral pleural invasion (VPI), including PL1 (the tumor invades beyond the elastic layer) and PL2 (the tumor extends to the surface of the visceral pleura), plays a crucial role in staging Non-Small Cell Lung Cancer (NSCLC). However, th...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Neoplasm Invasiveness Neoplasm Staging Aged Survival Rate Male Middle Aged Pleural Neoplasms SEER Program Propensity Score Pleura Humans Prognosis Retrospective Studies Female
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Diagnostic MicroRNA Signatures to Support Classification of Pulmonary Hypertension.

Circulation. Genomic and precision medicine Apr 18, 2025
BACKGROUND: Patients with pulmonary hypertension (PH) are classified based on disease pathogenesis and hemodynamic drivers. Classification informs treatment. The heart failure biomarker NT-proBNP (N-terminal pro-B-type natriuretic peptide) is used to...
Biomarkers Retrospective Studies Female Aged Adult Humans United Kingdom Hypertension, Pulmonary Natriuretic Peptide, Brain Male Middle Aged MicroRNAs Peptide Fragments
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Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

International journal of molecular sciences Apr 18, 2025
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error of metabolism affecting tyrosine catabolism. The risk of HCC is higher in late diagnoses despite treatment. Alpha-fetoprotein (AFP) is widely used to...
Tyrosinemias Middle Aged Infant Early Detection of Cancer Child alpha-Fetoproteins Adolescent Infant, Newborn Humans Liver Neoplasms Child, Preschool Young Adult Alkaline Phosphatase Machine Learning Carcinoma, Hepatocellular Adult Alanine Transaminase Retrospective Studies Longitudinal Studies Biomarkers, Tumor Female Follow-Up Studies Male
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Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections.

Radiation oncology (London, England) Apr 18, 2025
BACKGROUND: Delineating the internal gross tumor volume (IGTV) is crucial for the treatment of non-small cell lung cancer (NSCLC). Deep learning (DL) enables the automation of this process; however, current studies focus mainly on multiple phases of ...
Humans Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Deep Learning Four-Dimensional Computed Tomography Lung Neoplasms Carcinoma, Non-Small-Cell Lung Radiotherapy Planning, Computer-Assisted Tumor Burden
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Optimizing prediction of metastasis among colorectal cancer patients using machine learning technology.

BMC gastroenterology Apr 18, 2025
BACKGROUND AND AIM: Colorectal cancer is among the most prevalent and deadliest cancers. Early prediction of metastasis in patients with colorectal cancer is crucial in preventing it from the advanced stages and enhancing the prognosis among these pa...
Retrospective Studies Humans Female Male Aged Neural Networks, Computer Middle Aged Adult Machine Learning Predictive Value of Tests Prognosis Colorectal Neoplasms Iran Neoplasm Metastasis
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