AIMC Topic: Severity of Illness Index

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Knee osteoarthritis severity detection using deep inception transfer learning.

Computers in biology and medicine Dec 31, 2024
Osteoarthritis (OA) is a prevalent condition resulting in physical limitations. Early detection of OA is critical to effectively manage this condition. However, the diagnosis of early-stage arthritis remains challenging. The Kellgren and Lawrence (KL...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Osteoarthritis, Knee Female Humans Male Aged Neural Networks, Computer Middle Aged Databases, Factual Severity of Illness Index
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Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

Physical and engineering sciences in medicine Dec 30, 2024
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center ...
Male Middle Aged Severity of Illness Index Coronary Angiography Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Myocardial Ischemia Angina, Stable Machine Learning Retrospective Studies Female Aged Humans
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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...
Middle Aged Risk Assessment Severity of Illness Index Predictive Value of Tests Sleep Female Polysomnography Ischemic Stroke Risk Factors Humans Sleep Apnea, Obstructive Aged Artificial Intelligence Male Machine Learning Decision Support Techniques
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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...
Prospective Studies Biomarkers Pregnancy Female Humans Machine Learning Severity of Illness Index Cohort Studies Pregnancy Trimester, First Pre-Eclampsia Pregnancy Trimester, Second Parity Risk Factors Adult Risk Assessment Placenta Growth Factor
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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 ...
Adult Severity of Illness Index Male Speech Middle Aged Depression Depressive Disorder, Major Sleep Deprivation Humans Machine Learning Female
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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...
Parkinson Disease Middle Aged Severity of Illness Index Speech Pilot Projects Female Aged Male Humans Machine Learning
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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.
Elasticity Imaging Techniques Echo-Planar Imaging Liver Cirrhosis Support Vector Machine Magnetic Resonance Imaging Liver Biopsy Image Interpretation, Computer-Assisted Reference Standards Principal Component Analysis Area Under Curve Male Middle Aged Severity of Illness Index ROC Curve Retrospective Studies Female Aged Adult Humans
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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...
Humans Neural Networks, Computer Severity of Illness Index Deep Learning 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 Severity of Illness Index Adolescent Ethiopia Female Anemia Young Adult Pregnancy Complications, Hematologic Adult Prenatal Care
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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...
Image Interpretation, Computer-Assisted Photography Protective Factors Cholinesterases Male Female Humans Glycated Hemoglobin Middle Aged Risk Factors Diabetic Retinopathy Severity of Illness Index Fundus Oculi Sensitivity and Specificity Artificial Intelligence Liver Cirrhosis Non-alcoholic Fatty Liver Disease Cross-Sectional Studies Software Japan
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