AIMC Topic: Severity of Illness Index

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Screening prediction models using artificial intelligence for moderate-to-severe obstructive sleep apnea in patients with acute ischemic stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 24, 2024
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA with polysomnography (PSG) is often unfeasible in clinical practice, primarily because of how limited resources are and the physical condition of patien...
Humans Artificial Intelligence Ischemic Stroke Male Sleep Apnea, Obstructive Middle Aged Sleep Risk Assessment Polysomnography Severity of Illness Index Predictive Value of Tests Machine Learning Decision Support Techniques Female Risk Factors Aged
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A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

BMC pregnancy and childbirth Dec 24, 2024
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after pregnancy. Because of its diverse clinical presentation, preeclampsia is an adverse pregnancy outcome that is uniquely challenging to predict and mana...
Pre-Eclampsia Pregnancy Trimester, Second Placenta Growth Factor Biomarkers Pregnancy Female Parity Risk Factors Adult Risk Assessment Severity of Illness Index Humans Cohort Studies Machine Learning Pregnancy Trimester, First Prospective Studies
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Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach.

JMIR mental health Dec 23, 2024
BACKGROUND: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based ...
Depressive Disorder, Major Severity of Illness Index Speech Depression Sleep Deprivation Machine Learning Female Adult Male Middle Aged Humans
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A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach.

Computers in biology and medicine Dec 21, 2024
BACKGROUND: Changes in voice are a symptom of Parkinson's disease and used to assess the progression of the condition. However, natural differences in the voices of people can make this challenging. Computerized binary speech classification can ident...
Pilot Projects Parkinson Disease Male Middle Aged Severity of Illness Index Speech Humans Machine Learning Female Aged
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Male Middle Aged Severity of Illness Index ROC Curve Liver Cirrhosis Support Vector Machine Magnetic Resonance Imaging Liver Principal Component Analysis Humans Retrospective Studies Female Aged Adult Elasticity Imaging Techniques Echo-Planar Imaging Area Under Curve Biopsy Image Interpretation, Computer-Assisted Reference Standards
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Psoriasis severity assessment: Optimizing diagnostic models with deep learning.

Narra J Dec 19, 2024
Psoriasis is a chronic skin condition with challenges in the accurate assessment of its severity due to subtle differences between severity levels. The aim of this study was to evaluate deep learning models for automated classification of psoriasis s...
Severity of Illness Index Humans Deep Learning Neural Networks, Computer Psoriasis
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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 ...
Humans Machine Learning Pregnancy Adolescent Ethiopia Anemia Pregnancy Complications, Hematologic Female Young Adult Adult Prenatal Care Severity of Illness Index
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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...
Protective Factors Cholinesterases Middle Aged Severity of Illness Index Liver Cirrhosis Glycated Hemoglobin Fundus Oculi Non-alcoholic Fatty Liver Disease Japan Image Interpretation, Computer-Assisted Photography Female Risk Factors Sensitivity and Specificity Cross-Sectional Studies Male Humans Diabetic Retinopathy Artificial Intelligence 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 Magnetic Resonance Imaging Lower Extremity Predictive Value of Tests Image Interpretation, Computer-Assisted Lymphedema Machine Learning Retrospective Studies Female Aged Adult 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...
Severity of Illness Index Time Factors Electrocardiography Predictive Value of Tests Coronary Angiography Reproducibility of Results Coronary Vessels Aged Multidetector Computed Tomography Male Radiologists Vascular Calcification Humans Middle Aged Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Coronary Artery Disease Cardiac-Gated Imaging Techniques Artificial Intelligence Workflow Observer Variation Retrospective Studies Female
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