AIMC Topic: Predictive Value of Tests
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Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps.
Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
Aug 7, 2024
OBJECTIVE: Evaluating the possibility of predicting chronic rhinosinusitis with nasal polyps (CRSwNP) disease course using Artificial Intelligence.
Machine Learning-Based Algorithm for the Early Prediction of Postoperative Hypocalcemia Risk After Thyroidectomy.
Annals of surgery
Aug 7, 2024
OBJECTIVE: We used machine learning to develop and validate a multivariable algorithm allowing the accurate and early prediction of postoperative hypocalcemia risk.
Exploring the accuracy of tooth loss prediction between a clinical periodontal prognostic system and a machine learning prognostic model.
Journal of clinical periodontology
Aug 7, 2024
AIM: The aim of this analysis was to compare a clinical periodontal prognostic system and a developed and externally validated artificial intelligence (AI)-based model for the prediction of tooth loss in periodontitis patients under supportive period...
Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Tomography, X-Ray Computed
Aged
Clinical Decision-Making
Aged, 80 and over
Female
Male
Risk Factors
Middle Aged
Humans
Treatment Outcome
Risk Assessment
Machine Learning
Time Factors
Decision Support Techniques
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Ischemic Stroke
Infarction, Middle Cerebral Artery
Thrombectomy
Medical Futility
Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.
Academic radiology
Aug 5, 2024
RATIONALE AND OBJECTIVES: Deep learning can enhance the performance of multimodal image analysis, which is known for its noninvasive attributes and complementary efficacy, in predicting axillary lymph node (ALN) metastasis. Therefore, we established ...
Prediction models for retinopathy of prematurity occurrence based on artificial neural network.
BMC ophthalmology
Aug 5, 2024
INTRODUCTION: Early prediction and timely treatment are essential for minimizing the risk of visual loss or blindness of retinopathy of prematurity, emphasizing the importance of ROP screening in clinical routine.
Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study.
BMC women's health
Aug 5, 2024
OBJECTIVE: Breast cancer has become the most prevalent malignant tumor in women, and the occurrence of distant metastasis signifies a poor prognosis. Utilizing predictive models to forecast distant metastasis in breast cancer presents a novel approac...
Development and validation of a nomogram to predict impacted ureteral stones via machine learning.
Minerva urology and nephrology
Aug 2, 2024
BACKGROUND: To develop and evaluate a nomogram for predicting impacted ureteral stones using some simple and easily available clinical features.
Data-driven prediction of spinal cord injury recovery: An exploration of current status and future perspectives.
Experimental neurology
Aug 2, 2024
Spinal Cord Injury (SCI) presents a significant challenge in rehabilitation medicine, with recovery outcomes varying widely among individuals. Machine learning (ML) is a promising approach to enhance the prediction of recovery trajectories, but its i...
Identification of potential biomarkers for atrial fibrillation and stable coronary artery disease based on WGCNA and machine algorithms.
BMC cardiovascular disorders
Aug 2, 2024
BACKGROUND: Patients with atrial fibrillation (AF) often have coronary artery disease (CAD), but the biological link between them remains unclear. This study aims to explore the common pathogenesis of AF and CAD and identify common biomarkers.
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