AIMC Topic: Predictive Value of Tests

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Classification Prediction of Hydrocephalus After Intercerebral Haemorrhage Based on Machine Learning Approach.

Neuroinformatics Jan 14, 2025
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to guide clinical treatment decisions, this paper retrospectively analyses the clinical data of 844 cases of ICH and hydrocephalus...
Hydrocephalus Male Middle Aged Support Vector Machine Cerebral Hemorrhage Predictive Value of Tests Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Adult
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Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity.

Journal of pediatric surgery Jan 13, 2025
PURPOSE: This study evaluates the effectiveness of machine learning (ML) algorithms for improving the preoperative diagnosis of acute appendicitis in children, focusing on the accurate prediction of the severity of disease.
Humans Machine Learning Algorithms Retrospective Studies Child, Preschool Child Predictive Value of Tests Appendicitis Appendectomy Female Male Severity of Illness Index Adolescent
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Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients With Glaucoma in the United Kingdom.

American journal of ophthalmology Jan 13, 2025
PURPOSE: A previously developed machine-learning approach with Kalman filtering technology accurately predicted the disease trajectory for patients with various glaucoma types and severities using clinical trial data. This study assesses performance ...
Middle Aged Reproducibility of Results Visual Fields Humans Follow-Up Studies Visual Field Tests Machine Learning Aged Predictive Value of Tests Glaucoma, Open-Angle Retrospective Studies Intraocular Pressure United Kingdom Female Male
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Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

The international journal of cardiovascular imaging Jan 13, 2025
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radia...
Deep Learning Predictive Value of Tests Coronary Angiography Positron Emission Tomography Computed Tomography Reproducibility of Results Humans Radiographic Image Interpretation, Computer-Assisted Aged Retrospective Studies Coronary Artery Disease Female Male Automation Middle Aged Coronary Vessels Neoplasms Vascular Calcification
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Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis.

BMC medical informatics and decision making Jan 13, 2025
BACKGROUND: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Humans Machine Learning Pregnancy Female Predictive Value of Tests Disease Progression Diabetes, Gestational Diabetes Mellitus, Type 2
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Female Severity of Illness Index Reproducibility of Results Coronary Artery Disease Humans Aged Predictive Value of Tests Observer Variation Artificial Intelligence Male Coronary Angiography Coronary Vessels Algorithms Middle Aged Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Retrospective Studies Coronary Stenosis
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End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Open heart Jan 11, 2025
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Computed Tomography Angiography Coronary Stenosis Aged Male Middle Aged Severity of Illness Index Deep Learning Humans Retrospective Studies Female Reproducibility of Results
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A Radiomic-Clinical Model of Contrast-Enhanced Mammography for Breast Cancer Biopsy Outcome Prediction.

Academic radiology Jan 10, 2025
RATIONALE AND OBJECTIVES: In the USA over 1 million breast biopsies are performed annually. Approximately 9.6% diagnostic exams were given Breast Imaging Reporting and Data System (BI-RADS) ≥4A, most of which are 4A/4B. Contrast-enhanced mammography ...
Radiomics Middle Aged Contrast Media Mammography Predictive Value of Tests Female Aged Adult Breast Neoplasms Biopsy Radiographic Image Enhancement Humans Machine Learning Retrospective Studies
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Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 10, 2025
BACKGROUND: Neoadjuvant chemotherapy is standard for advanced esophageal squamous cell carcinoma, though often ineffective. Therefore, predicting the response to chemotherapy before treatment is desirable. However, there is currently no established m...
Female Aged Male Middle Aged Deep Learning Humans Retrospective Studies Esophageal Neoplasms ROC Curve Esophageal Squamous Cell Carcinoma Treatment Outcome Esophagoscopy Neoadjuvant Therapy Predictive Value of Tests
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Machine learning-based prediction model integrating ultrasound scores and clinical features for the progression to rheumatoid arthritis in patients with undifferentiated arthritis.

Clinical rheumatology Jan 10, 2025
OBJECTIVES: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) patients remains a challenge. Traditional approaches combining clinical assessments and ultrasonography (US) often lack accuracy due to the complex intera...
Prospective Studies Joints Adult Sensitivity and Specificity Predictive Value of Tests Middle Aged Humans Disease Progression Machine Learning Severity of Illness Index Male Random Forest Ultrasonography Feasibility Studies Arthritis, Rheumatoid Antirheumatic Agents
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