AIMC Topic: Early Diagnosis

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An early prediction model for gestational diabetes mellitus created using machine learning algorithms.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Mar 4, 2025
OBJECTIVE: To investigate high-risk factors for gestational diabetes mellitus (GDM) in early pregnancy through an analysis of demographic and clinical data, and to develops a machine-learning-based prediction model to enhance early diagnosis and inte...
Retrospective Studies Pregnancy Female Risk Factors Humans Machine Learning Algorithms Body Mass Index Predictive Value of Tests Diabetes, Gestational Early Diagnosis Young Adult Adult Risk Assessment ROC Curve
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Development of an artificial intelligence-based multimodal diagnostic system for early detection of biliary atresia.

BMC medicine Feb 27, 2025
BACKGROUND: Early diagnosis of biliary atresia (BA) is crucial for improving patient outcomes, yet remains a significant global challenge. This challenge may be ameliorated through the application of artificial intelligence (AI). Despite the promise ...
Infant Retrospective Studies Deep Learning Humans Early Diagnosis Female Ultrasonography Biliary Atresia Artificial Intelligence Infant, Newborn Male Prospective Studies
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Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models.

Scientific reports Feb 27, 2025
Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease marked by motor deterioration and cognitive decline. Early diagnosis is challenging due to the complexity of sporadic ALS and the lack of a defined risk population. In this study, we...
Male Middle Aged Deep Learning Cognitive Dysfunction Brain Humans Neuroimaging Amyotrophic Lateral Sclerosis Female Neural Networks, Computer Attention Aged Frontotemporal Dementia Early Diagnosis
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Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning.

Scientific reports Feb 26, 2025
Feline chronic kidney disease (CKD) is one of the most frequently encountered diseases in veterinary practice, and the leading cause of mortality in cats over five years of age. While diagnosing advanced CKD is straightforward, current routine tests ...
Cat Diseases Kynurenine Case-Control Studies Renal Insufficiency, Chronic Early Diagnosis Cats Machine Learning Female Biomarkers Retrospective Studies Animals Male
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Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.

Scientific reports Feb 25, 2025
Early diagnosis of Kawasaki disease (KD) allows timely treatment to be initiated, thereby preventing coronary artery aneurysms in children. However, it is challenging due to the subjective nature of the diagnostic criteria. This study aims to develop...
Humans Child Infant Retrospective Studies Female China Machine Learning Cross-Sectional Studies Child, Preschool Male ROC Curve Mucocutaneous Lymph Node Syndrome Fever Early Diagnosis
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Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.

Scientific reports Feb 22, 2025
Untreated neonatal jaundice can have severe consequences. Effective screening for neonatal jaundice can prevent long-term complications in infants. Non-invasive approaches may be beneficial in settings with limited resources. This feasibility study e...
Bilirubin Neonatal Screening Jaundice, Neonatal Machine Learning Female Infant, Newborn Male Image Processing, Computer-Assisted Support Vector Machine Feasibility Studies Early Diagnosis Humans
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Explainable paroxysmal atrial fibrillation diagnosis using an artificial intelligence-enabled electrocardiogram.

The Korean journal of internal medicine Feb 21, 2025
BACKGROUND/AIMS: Atrial fibrillation (AF) significantly contributes to global morbidity and mortality. Paroxysmal atrial fibrillation (PAF) is particularly common among patients with cryptogenic strokes or transient ischemic attacks and has a silent ...
Predictive Value of Tests Atrial Fibrillation Early Diagnosis Deep Learning Electrocardiography Action Potentials Humans Neural Networks, Computer Artificial Intelligence Female Aged Male Middle Aged
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Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study.

Aging clinical and experimental research Feb 20, 2025
BACKGROUND: Sarcopenia is a common complication in patients with stroke, adversely affecting recovery and increasing mortality risk. However, no standardised tool exists for its screening in this population. This study aims to identify factors influe...
Humans Machine Learning Female Aged Sarcopenia Stroke Early Diagnosis Aged, 80 and over Male Middle Aged Risk Assessment
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Capsule network-based deep learning for early and accurate diabetic retinopathy detection.

International ophthalmology Feb 18, 2025
Glaucoma, an optic nerve disease resulting in blindness if left untreated, is a difficult condition in healthcare in view of its diagnostic difficulties. Past approaches are based on assessment of the fundus images and the size of the cup and the dis...
Humans Fundus Oculi Early Diagnosis Optic Disk Diabetic Retinopathy Neural Networks, Computer Deep Learning
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Deep learning for detecting and early predicting chronic obstructive pulmonary disease from spirogram time series.

NPJ systems biology and applications Feb 15, 2025
Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent features in spirometry (Volume-Flow time series) to detect COPD, but the...
Female Pulmonary Disease, Chronic Obstructive Male Disease Progression Deep Learning ROC Curve Early Diagnosis Spirometry Humans
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