AIMC Topic: ROC Curve

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Deep multi-instance learning model based on gadoxetic acid-enhanced MRI for predicting microvascular invasion of hepatocellular carcinoma: a multicenter, retrospective study.

BMC cancer Oct 22, 2025
OBJECTIVE: Microvascular invasion (MVI) is of great significance for the individualized treatment of hepatocellular carcinoma (HCC) and preoperative noninvasive prediction of MVI is still an urgent clinical problem. To explore the effects of differen...
Carcinoma, Hepatocellular Contrast Media Magnetic Resonance Imaging Neoplasm Invasiveness Middle Aged Deep Learning ROC Curve Liver Neoplasms Gadolinium DTPA Microvessels Humans Retrospective Studies Female Aged Adult Male
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Mass spectrometry combined with machine learning identifies novel protein signatures as demonstrated with multisystem inflammatory syndrome in children.

Scientific reports Oct 22, 2025
Rapid and accurate diagnosis of emerging inflammatory illnesses is challenging due to overlapping clinical features with existing conditions. We demonstrate an approach that integrates proteomic analysis with machine learning to identify diagnostic p...
COVID-19 Biomarkers Female SARS-CoV-2 Humans Machine Learning Support Vector Machine Mass Spectrometry Mucocutaneous Lymph Node Syndrome Blood Proteins Child Systemic Inflammatory Response Syndrome ROC Curve Proteomics Sensitivity and Specificity Male Infant Child, Preschool
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A machine-learning-based osteoporosis screening tool integrating the Shapley Additive exPlanation (SHAP) method: model development and validation study.

Archives of osteoporosis Oct 22, 2025
RATIONALE: Existing osteoporosis screening tools are inaccurate and inconvenient, prompting the need for a better alternative.
Humans Aged, 80 and over Male Middle Aged ROC Curve Mass Screening Machine Learning Osteoporosis Female Aged
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A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study.

PloS one Oct 22, 2025
OBJECTIVES: Accurately predicting the mortality risk of hypothermia patients is crucial for clinical decision-making, offering ample time for physicians to intervene. However, existing methods are invasive and difficult to implement in pre-hospital s...
ROC Curve Area Under Curve Hypothermia Aged Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female
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Multimodal prediction of metastatic relapse using federated deep learning in soft-tissue sarcoma with a complex genomic profile.

Scientific reports Oct 21, 2025
Soft Tissue sarcomas (STS) are a group of heterogeneous and complex diseases where being able to predict the appearance of metastases is key to inform clinical decisions, especially the prescription of adjuvant chemotherapy. We developed SarcNet: a m...
Humans Algorithms Prognosis Female Aged Adult Neoplasm Metastasis Genomics Male Nomograms Middle Aged Neoplasm Recurrence, Local Deep Learning Sarcoma ROC Curve
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Exploring the therapeutic effects of continuous kidney replacement therapy in patients with severe acidosis using deep learning-based causal inference.

Scientific reports Oct 21, 2025
Continuous kidney replacement therapy (CKRT) is an essential treatment for uncontrolled severe metabolic acidosis. However, CKRT can increase workload and lead to complications, thus necessitating its selective application to patients who stand to be...
Hospital Mortality ROC Curve Treatment Outcome Acidosis Humans Male Female Continuous Renal Replacement Therapy Middle Aged Aged Intensive Care Units Deep Learning
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Landslide susceptibility assessment via the information value-coupled machine learning models.

PloS one Oct 21, 2025
Collapses and landslides are frequent in the southern mountainous areas of the economic zone on the northern slopes of the Tianshan Mountains in Xinjiang, and an accurate assessment of susceptibility can effectively avoid potential risks, which is cr...
Models, Theoretical Landslides Machine Learning China ROC Curve Logistic Models
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Machine learning predictive system to predict the risk of developing pre-eclampsia.

BMJ health & care informatics Oct 17, 2025
OBJECTIVES: To develop a machine learning (ML)-based predictive model for assessing the risk of pre-eclampsia using routinely collected clinical data.
Adult Humans Risk Assessment Pre-Eclampsia Machine Learning ROC Curve Retrospective Studies Blood Pressure Pregnancy Female Risk Factors
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AI-driven 3D CT imaging prediction model for improving preoperative detection of visceral pleural invasion in early-stage lung cancer.

PloS one Oct 17, 2025
Visceral pleural invasion (VPI) is a critical prognostic factor in early-stage non-small-cell lung cancer (NSCLC), significantly affecting patient outcomes. Conventional computed tomography (CT) often fails to diagnose VPI accurately. This retrospect...
Neoplasm Staging Pleura Tomography, X-Ray Computed Female Imaging, Three-Dimensional Humans Aged Male Lung Neoplasms Artificial Intelligence Adult Middle Aged Carcinoma, Non-Small-Cell Lung Retrospective Studies Case-Control Studies Neoplasm Invasiveness ROC Curve
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Development and external validation of an artificial intelligence model for predicting mortality and prolonged ICU stay in postoperative critically ill patients: a retrospective study.

World journal of emergency surgery : WJES Oct 15, 2025
BACKGROUND: Existing predictive models in critical care, specifically for postoperative critically ill patients, often struggle to accurately predict prolonged intensive care unit (ICU) stays, a key aspect of patient care. The integration of artifici...
Adult Critical Illness Humans Hospital Mortality Artificial Intelligence Intensive Care Units Male ROC Curve Prognosis Female Middle Aged Retrospective Studies Aged Length of Stay
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