AIMC Topic: Predictive Value of Tests

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A magnetic resonance imaging (MRI)-based deep learning radiomics model predicts recurrence-free survival in lung cancer patients after surgical resection of brain metastases.

Clinical radiology Jun 1, 2025
AIM: To develop and validate a magnetic resonance imaging (MRI)-based deep learning radiomics model (DLRM) to predict recurrence-free survival (RFS) in lung cancer patients after surgical resection of brain metastases (BrMs).
Lung Neoplasms Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Recurrence, Local Disease-Free Survival Brain Neoplasms Male Middle Aged Deep Learning Humans Retrospective Studies Female Aged Adult Radiomics
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Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 1, 2025
OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic stroke patient remains challenging, as it is impossible to observe the outcomes for both with and without successful recanalization in the same individ...
Aged Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Treatment Outcome Recovery of Function Predictive Value of Tests Precision Medicine Retrospective Studies Clinical Decision-Making Female Risk Factors Humans Machine Learning Decision Support Techniques Patient Selection Ischemic Stroke Thrombectomy Thrombolytic Therapy Disability Evaluation Functional Status
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Predicting pregnancy-related pelvic girdle pain using machine learning.

Musculoskeletal science & practice Jun 1, 2025
BACKGROUND: Pregnancy-related pelvic girdle pain (PPGP) is a common complication during gestation which negatively influences pregnant women's quality of life. There are numerous risk factors associated with PPGP, however, there is limited informatio...
Predictive Value of Tests Pregnancy Complications Pelvic Girdle Pain Pregnancy Humans Female Machine Learning Risk Factors Adult ROC Curve
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Deep Learning Algorithms to Predict Differential Renal Function <40% in Unilateral Hydronephrosis Based on Key Parameters of Urinary Tract Ultrasound.

Urology Jun 1, 2025
OBJECTIVE: To identify the correlation between ultrasound findings and the incidence of differential renal function (DRF) <40%, we conducted an analysis of the key parameters of urinary tract ultrasound in children with unilateral hydronephrosis. For...
Hydronephrosis Radioisotope Renography Humans Male Retrospective Studies Child Infant Female Ultrasonography Deep Learning Kidney Child, Preschool Predictive Value of Tests Urinary Tract
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Machine learning-based prediction of hearing loss: Findings of the US NHANES from 2003 to 2018.

Hearing research Jun 1, 2025
The prevalence of hearing loss (HL) has emerged as an escalating public health concern globally. The objective of this study was to leverage data from the National Health and Nutritional Examination Survey (NHANES) to develop an interpretable predict...
Machine Learning Female Hearing Loss Reproducibility of Results Risk Factors Aged Humans Prevalence Nutrition Surveys Young Adult United States Adult Predictive Value of Tests Male Hearing Middle Aged Risk Assessment
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Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection.

Current opinion in organ transplantation Jun 1, 2025
PURPOSE OF REVIEW: The objective of this review is to provide an update on the application of artificial intelligence (AI) for the histological interpretation of kidney transplant biopsies.
Kidney Transplantation Reproducibility of Results Graft Survival Kidney Treatment Outcome Humans Predictive Value of Tests Neural Networks, Computer Graft Rejection Artificial Intelligence Biopsy
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Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma.

The British journal of radiology Jun 1, 2025
OBJECTIVES: To develop a deep learning (DL) model based on ultrasound (US) images of lymph nodes for predicting cervical lymph node metastasis (CLNM) in postoperative patients with differentiated thyroid carcinoma (DTC).
Sensitivity and Specificity Male Middle Aged Deep Learning Thyroid Neoplasms Humans Retrospective Studies Female Aged Adult Predictive Value of Tests Postoperative Period Ultrasonography Lymph Nodes Neck Lymphatic Metastasis
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Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features.

Breast cancer research and treatment Jun 1, 2025
PURPOSE: To establish a reliable machine learning model to predict malignancy in breast lesions identified by ultrasound (US) and optimize the negative predictive value to minimize unnecessary biopsies.
Ultrasonography, Mammary Aged Breast Adult Humans Breast Neoplasms Machine Learning Middle Aged Algorithms Predictive Value of Tests Female
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CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.

European heart journal. Cardiovascular Imaging May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Retrospective Studies Female Aged Male Middle Aged Coronary Artery Disease Risk Assessment Humans Proportional Hazards Models Severity of Illness Index Prognosis Plaque, Atherosclerotic Predictive Value of Tests Vascular Calcification Coronary Angiography Computed Tomography Angiography Cause of Death
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First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

Respiratory research May 24, 2025
BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, life-threatening complications of systemic lupus erythematosus (SLE). Early identification of high-risk patients remains challenging due to the lack of ...
Middle Aged Risk Assessment Lupus Erythematosus, Systemic Cohort Studies Lung Diseases, Interstitial Nomograms Pulmonary Arterial Hypertension Retrospective Studies Predictive Value of Tests Female Adult Humans Male Machine Learning
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