AIMC Topic: Severity of Illness Index

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Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context.

BMC public health Dec 18, 2024
BACKGROUND: Anemia during pregnancy is a significant public health concern, particularly in resource-limited settings. Machine learning (ML) offers promising avenues for improved anemia detection and management. This study investigates the potential ...
Ethiopia Anemia Pregnancy Complications, Hematologic Adult Prenatal Care Severity of Illness Index Adolescent Machine Learning Pregnancy Female Young Adult Humans
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Standardized evaluation of diabetic retinopathy using artificial intelligence and its association with metabolic dysfunction-associated steatotic liver disease in Japan: A cross-sectional study.

PloS one Dec 17, 2024
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relat...
Photography Protective Factors Cholinesterases Male Middle Aged Severity of Illness Index Liver Cirrhosis Female Non-alcoholic Fatty Liver Disease Glycated Hemoglobin Humans Risk Factors Japan Fundus Oculi Diabetic Retinopathy Sensitivity and Specificity Image Interpretation, Computer-Assisted Artificial Intelligence Cross-Sectional Studies Software
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Noncontrast MRI-based machine learning and radiomics signature can predict the severity of primary lower limb lymphedema.

Journal of vascular surgery. Venous and lymphatic disorders Dec 16, 2024
OBJECTIVE: According to International Lymphology Society guidelines, the severity of lymphedema is determined by the difference in volume between the affected limb and the healthy side divided by the volume of the healthy side. However, this method o...
Humans Female Aged Adult Machine Learning Retrospective Studies Magnetic Resonance Imaging Lower Extremity Predictive Value of Tests Image Interpretation, Computer-Assisted Lymphedema Radiomics Male Middle Aged Severity of Illness Index
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Observer Variation Coronary Vessels Multidetector Computed Tomography Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Radiologists Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Humans Workflow Artificial Intelligence Time Factors Retrospective Studies Electrocardiography Female Predictive Value of Tests Male Coronary Angiography Middle Aged Reproducibility of Results Severity of Illness Index Aged
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Artificial Intelligence-Driven Assessment of Coronary Computed Tomography Angiography for Intermediate Stenosis: Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve.

The American journal of cardiology Dec 11, 2024
We aimed to compare artificial intelligence (AI)-based coronary stenosis evaluation of coronary computed tomography angiography (CCTA) with its quantitative counterpart of invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR)...
Severity of Illness Index Predictive Value of Tests Coronary Angiography Coronary Vessels Female Aged Male Middle Aged Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Artificial Intelligence Retrospective Studies
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Exploring the complexity of obstructive sleep apnea: findings from machine learning on diagnosis and predictive capacity of individual factors.

Sleep & breathing = Schlaf & Atmung Dec 5, 2024
PURPOSE: Obstructive sleep apnoea (OSA) is a prevalent sleep disorder characterized by pharyngeal airway collapse during sleep, leading to intermittent hypoxia, intrathoracic pressure swings, and sleep fragmentation. OSA is associated with various co...
Machine Learning Female Risk Factors Adult Male Humans Middle Aged Severity of Illness Index Sleep Apnea, Obstructive Polysomnography
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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models.

BMC medical informatics and decision making Dec 5, 2024
BACKGROUND: Efficient triage in emergency departments (EDs) is critical for timely and appropriate care. Traditional triage systems primarily rely on structured data, but the increasing availability of unstructured data, such as clinical notes, prese...
Adult Male Middle Aged Severity of Illness Index Emergency Service, Hospital Triage Humans Natural Language Processing Machine Learning Female Aged
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Advances in Artificial Intelligence for automated knee osteoarthritis classification using the IKDC system.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Dec 2, 2024
INTRODUCTION: Knee osteoarthritis is one of the most prevalent and debilitating musculoskeletal diseases, with a high incidence among the elderly population. Early detection and accurate classification can improve clinical outcomes for affected patie...
Male Middle Aged Severity of Illness Index Radiography Osteoarthritis, Knee Machine Learning Female Humans Aged Artificial Intelligence Sensitivity and Specificity
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CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment.

IEEE transactions on medical imaging Dec 2, 2024
The high burden of lung diseases on healthcare necessitates effective detection methods. Current Computer-aided design (CAD) systems are limited by their focus on specific diseases and computationally demanding deep learning models. To overcome these...
Severity of Illness Index Deep Learning Lung Neoplasms Lung Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Lung
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Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning.

Circulation journal : official journal of the Japanese Circulation Society Nov 30, 2024
BACKGROUND: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current referen...
Prognosis Female Aged Aged, 80 and over Humans Predictive Value of Tests Male Pulmonary Embolism Acute Disease Middle Aged Multidetector Computed Tomography Severity of Illness Index Deep Learning
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