AIMC Topic: Early Diagnosis

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A novel neuroimaging based early detection framework for alzheimer disease using deep learning.

Scientific reports Jul 2, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, posing a major global health challenge. Despite its rising prevalence, particularly in low and middle-income countries, early diagnosi...
Positron-Emission Tomography Early Diagnosis Neuroimaging Diagnosis, Computer-Assisted Deep Learning Magnetic Resonance Imaging Alzheimer Disease Brain Female Male Humans
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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Scientific reports Jul 2, 2025
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain's anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diag...
Deep Learning ROC Curve Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer Machine Learning Early Diagnosis Nervous System Diseases
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Attention-driven hybrid deep learning and SVM model for early Alzheimer's diagnosis using neuroimaging fusion.

BMC medical informatics and decision making Jul 1, 2025
Alzheimer's Disease (AD) poses a significant global health challenge, necessitating early and accurate diagnosis to enable timely interventions. AD is a progressive neurodegenerative disorder that affects millions worldwide and is one of the leading ...
Aged Deep Learning Support Vector Machine Alzheimer Disease Humans Early Diagnosis Neuroimaging
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A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Scientific reports Jul 1, 2025
Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significant threat to the children's health, so early recognition of MP infection is critical to reduce the severity and improve the prognosis of segmental/lob...
Child Early Diagnosis Pneumonia, Mycoplasma Mycoplasma pneumoniae Male Infant Child, Preschool Humans Machine Learning Algorithms Female
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Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Scientific reports Jul 1, 2025
Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very challenging. However, using patterns like tremors for early diagnosis, handwriting analysis has becom...
Parkinson Disease Neural Networks, Computer Humans Early Diagnosis Algorithms Handwriting Deep Learning Image Processing, Computer-Assisted
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Predictive modeling for early detection of refractory esophageal stricture following esophageal atresia surgery: insight from a machine learning study.

Pediatric surgery international Jun 26, 2025
BACKGROUND: Refractory esophageal stricture (RES) presents a challenging complication after esophageal atresia (EA) repair. Earlier identification of patients with RES could help clinical decision-making. However, there are currently limited articles...
Dilatation Machine Learning Early Diagnosis Retrospective Studies Esophageal Atresia Humans Female Esophageal Stenosis Male Risk Factors Postoperative Complications Infant
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

PloS one Jun 26, 2025
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy o...
Humans Machine Learning Female Adult Male Middle Aged Support Vector Machine Hepacivirus Hepatitis C Early Diagnosis Decision Trees Area Under Curve Bayes Theorem
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The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Jun 23, 2025
: Early identification and timely preventive interventions play an essential role for improving the prognosis of newborns with necrotizing enterocolitis (NEC). Thus, establishing a novel and simple prediction model is of great clinical significance. ...
Male Case-Control Studies ROC Curve Female Early Diagnosis Machine Learning Logistic Models Humans Infant, Newborn Enterocolitis, Necrotizing Databases, Factual Risk Factors Prognosis Retrospective Studies
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Enhancing early detection and treatment of psychosis in Germany: a protocol for the health economic evaluation of an artificial intelligence-guided complex intervention.

BMJ open Jun 18, 2025
INTRODUCTION: Psychosis, characterised by chronic symptoms often emerging in youth, imposes a substantial burden on individuals and healthcare systems. While early detection and intervention can mitigate this burden, there is limited evidence on the ...
Randomized Controlled Trials as Topic Early Diagnosis Humans Psychotic Disorders Germany Artificial Intelligence Cost-Benefit Analysis Adolescent Quality-Adjusted Life Years
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A machine-learning-based approach to predict early hallmarks of progressive hearing loss.

Hearing research Jun 6, 2025
Machine learning (ML) techniques are increasingly being used to improve disease diagnosis and treatment. However, the application of these computational approaches to the early diagnosis of age-related hearing loss (ARHL), the most common sensory def...
Mice Age Factors Humans Disease Models, Animal Machine Learning Mice, Inbred C57BL Phenotype Animals Female Male Hearing Disease Progression Auditory Threshold Predictive Value of Tests Evoked Potentials, Auditory, Brain Stem Signal Processing, Computer-Assisted Presbycusis Cadherins Early Diagnosis
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