AIMC Topic: Predictive Value of Tests

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Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.

The international journal of cardiovascular imaging May 9, 2024
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in coronary CT angiography (CCTA). In this prospective study, patients underwent CCTA were prospectively...
Reproducibility of Results Aged Male Middle Aged Deep Learning Electrocardiography Contrast Media Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Prospective Studies Female Computed Tomography Angiography Cardiac-Gated Imaging Techniques Coronary Artery Disease Heart Rate Coronary Vessels Radiation Dosage Multidetector Computed Tomography
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Association between the stress hyperglycemia ratio and 28-day all-cause mortality in critically ill patients with sepsis: a retrospective cohort study and predictive model establishment based on machine learning.

Cardiovascular diabetology May 9, 2024
BACKGROUND: Sepsis is a severe form of systemic inflammatory response syndrome that is caused by infection. Sepsis is characterized by a marked state of stress, which manifests as nonspecific physiological and metabolic changes in response to the dis...
Predictive Value of Tests Cause of Death Sepsis Blood Glucose Time Factors Humans Aged Hospital Mortality Male Machine Learning Hyperglycemia Middle Aged Decision Support Techniques Risk Assessment Prognosis Databases, Factual China Retrospective Studies Biomarkers Critical Illness Female Risk Factors
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Development and multinational validation of an algorithmic strategy for high Lp(a) screening.

Nature cardiovascular research May 9, 2024
Elevated lipoprotein (a) (Lp(a)) is associated with premature atherosclerotic cardiovascular disease. However, fewer than 0.5% of individuals undergo Lp(a) testing, limiting the evaluation and use of novel targeted therapeutics currently under develo...
Cardiovascular Diseases Middle Aged Risk Assessment Female United States Predictive Value of Tests Reproducibility of Results Mass Screening Humans Lipoprotein(a) Aged Machine Learning Adult Algorithms Male Decision Support Techniques Biomarkers
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Application of machine learning approaches for predicting hemophilia A severity.

Journal of thrombosis and haemostasis : JTH May 7, 2024
BACKGROUND: Hemophilia A (HA) is an X-linked congenital bleeding disorder, which leads to deficiency of clotting factor (F) VIII. It mostly affects males, and females are considered carriers. However, it is now recognized that variants of F8 in femal...
Female Reproducibility of Results Male Severity of Illness Index Genetic Predisposition to Disease Humans Genotype Machine Learning Databases, Genetic Phenotype Predictive Value of Tests Hemophilia A Factor VIII
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Interpretable machine learning based on CT-derived extracellular volume fraction to predict pathological grading of hepatocellular carcinoma.

Abdominal radiology (New York) May 4, 2024
PURPOSE: To develop a non-invasive auxiliary assessment method based on CT-derived extracellular volume (ECV) to predict the pathological grading (PG) of hepatocellular carcinoma (HCC).
Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Predictive Value of Tests Tomography, X-Ray Computed Female Aged Adult Sensitivity and Specificity Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Retrospective Studies
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A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology May 4, 2024
BACKGROUND AND STUDY AIMS: The present study was undertaken to design a new machine learning (ML) model that can predict the presence of viremia in hepatitis C virus (HCV) antibody (anti-HCV) seropositive cases.
RNA, Viral Hepacivirus Hepatitis C Alanine Transaminase Aspartate Aminotransferases Serum Albumin Hepatitis C Antibodies Adult Male Middle Aged Predictive Value of Tests Viremia Humans Machine Learning Algorithms Retrospective Studies Female
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Letter to the editor: Magnetic resonance imaging-based radiomics and deep learning models for predicting lymph node metastasis of squamous cell carcinoma of the tongue.

Oral surgery, oral medicine, oral pathology and oral radiology May 3, 2024
Deep Learning Lymphatic Metastasis Magnetic Resonance Imaging Predictive Value of Tests Humans Tongue Neoplasms Carcinoma, Squamous Cell Radiomics
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PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI.

La Radiologia medica May 3, 2024
PURPOSE: High PSMA expression might be correlated with structural characteristics such as growth patterns on histopathology, not recognized by the human eye on MRI images. Deep structural image analysis might be able to detect such differences and th...
Humans Retrospective Studies Aged Male Middle Aged Prostate Radiopharmaceuticals Positron-Emission Tomography Deep Learning Antigens, Surface Magnetic Resonance Imaging Gallium Radioisotopes Organ Size Glutamate Carboxypeptidase II Predictive Value of Tests Prostatic Neoplasms
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Pre-hospital glycemia as a biomarker for in-hospital all-cause mortality in diabetic patients - a pilot study.

Cardiovascular diabetology May 3, 2024
BACKGROUND: Type 2 Diabetes Mellitus (T2DM) presents a significant healthcare challenge, with considerable economic ramifications. While blood glucose management and long-term metabolic target setting for home care and outpatient treatment follow est...
Prognosis Female Risk Factors Hospitalization Aged Humans Machine Learning Biomarkers Glycemic Control Time Factors Hospital Mortality Male Diabetes Mellitus, Type 2 Middle Aged Predictive Value of Tests Risk Assessment Cause of Death Pilot Projects Blood Glucose
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Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

The international journal of cardiovascular imaging May 3, 2024
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as ...
Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Humans Artificial Intelligence Prognosis Reproducibility of Results Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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