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machine learning

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Machine Learning-enhanced Steroid Profiling for Rapid Diagnosis of Congenital Adrenal Steroidogenesis Disorders
Posted inDiabetes & Endocrinology news Pediatrics

Machine Learning-enhanced Steroid Profiling for Rapid Diagnosis of Congenital Adrenal Steroidogenesis Disorders

Posted by By MedXY 09/19/2026
This article reviews a validated machine learning decision-tree model using LC-MS/MS steroid profiles to accurately and rapidly diagnose congenital disorders of adrenal steroidogenesis (CDAS), enhancing clinical decision-making and patient outcomes.
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Enhancing COPD Detection through Integrated Quantitative CT Biomarkers in Lung Cancer Screening Programs
Posted innews Radiology Respiratory

Enhancing COPD Detection through Integrated Quantitative CT Biomarkers in Lung Cancer Screening Programs

Posted by By MedXY 09/10/2026
This study demonstrates that combining quantitative CT biomarkers with clinical data significantly improves the detection of previously undiagnosed COPD within lung cancer screening populations, optimizing referrals for confirmatory spirometry and enabling earlier diagnosis.
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Circulating Exosomal microRNA Signature Enhances Preoperative Detection of Occult Liver Metastases in Pancreatic Cancer
Posted inGeneral Surgery Hematology-Oncology news

Circulating Exosomal microRNA Signature Enhances Preoperative Detection of Occult Liver Metastases in Pancreatic Cancer

Posted by By MedXY 09/07/2026
A multicenter study developed a robust exosomal microRNA-based model enabling preoperative detection of occult liver micrometastasis in pancreatic ductal adenocarcinoma, improving risk stratification and guiding treatment sequencing.
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Harnessing Artificial Intelligence for Early Detection of Ovarian Cancer: Development and Validation of a Predictive Risk Model
Posted inAI news OB/GYN & Women’s Health

Harnessing Artificial Intelligence for Early Detection of Ovarian Cancer: Development and Validation of a Predictive Risk Model

Posted by By MedXY 08/31/2026
A novel AI-driven risk prediction model for ovarian cancer demonstrates high accuracy and potential to improve early detection in screening settings.
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Enhancing Early Detection of Neonatal Hearing Loss: A Machine Learning Risk Stratification Approach
Posted innews Otorhinolaryngology Pediatrics

Enhancing Early Detection of Neonatal Hearing Loss: A Machine Learning Risk Stratification Approach

Posted by By MedXY 08/31/2026
This article discusses a novel machine learning-based tool, especially XGBoost, to predict hearing loss risk in high-risk neonates using clinical factors for targeted early intervention.
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Optimizing Capillary Ketone Testing Frequency to Predict Short-Term Diabetic Ketoacidosis Risk in Type 1 Diabetes
Posted inDiabetes & Endocrinology news

Optimizing Capillary Ketone Testing Frequency to Predict Short-Term Diabetic Ketoacidosis Risk in Type 1 Diabetes

Posted by By MedXY 08/30/2026
Weekly well-day capillary ketone testing maintains predictive accuracy for 1-month diabetic ketoacidosis risk, offering a practical and less burdensome monitoring strategy for patients with type 1 diabetes.
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Advancing Prognostication in Transthyretin Amyloid Cardiomyopathy: A Machine Learning Risk Prediction Model
Posted inCardiology news

Advancing Prognostication in Transthyretin Amyloid Cardiomyopathy: A Machine Learning Risk Prediction Model

Posted by By MedXY 08/30/2026
A novel machine learning-based model demonstrates improved risk prediction in transthyretin amyloid cardiomyopathy, surpassing traditional staging systems and supporting personalized patient management.
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Binary to Personalized: Enhancing Cochlear Implant Candidate Screening with Machine Learning Probability Scores
Posted inAI news Otorhinolaryngology

Binary to Personalized: Enhancing Cochlear Implant Candidate Screening with Machine Learning Probability Scores

Posted by By MedXY 08/23/2026
This study introduces a validated machine learning tool providing personalized probability scores to improve cochlear implant candidacy screening, surpassing traditional rules by enabling tailored patient counseling and identifying borderline cases.
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Multiomic Profiling and Machine Learning Reveal Distinct Molecular Subtypes of Cholangiocarcinoma and Identify TNK1 as a Novel Therapeutic Target
Posted inGastroenterology news Oncology

Multiomic Profiling and Machine Learning Reveal Distinct Molecular Subtypes of Cholangiocarcinoma and Identify TNK1 as a Novel Therapeutic Target

Posted by By MedXY 08/21/2026
This study delineates three unique molecular subtypes of cholangiocarcinoma via integrated multiomic and machine learning methodologies, highlighting TNK1 kinase as a promising targeted therapy in a metabolic subtype.
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AI-ECG for Detecting Structural Heart Disease in the Community: Evaluating Real-World Applicability in the PREVUE-VALVE Study
Posted inAI Cardiology news

AI-ECG for Detecting Structural Heart Disease in the Community: Evaluating Real-World Applicability in the PREVUE-VALVE Study

Posted by By MedXY 08/21/2026
The PREVUE-VALVE Study demonstrates that AI-ECG models developed in hospital settings show reduced diagnostic accuracy when applied to community populations with lower disease prevalence and milder structural heart disease, underscoring the need for context-specific evaluation.
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Artificial Intelligence Enhances Risk Prediction for Postoperative Complications After Tongue Cancer Surgery
Posted inAI news Otorhinolaryngology

Artificial Intelligence Enhances Risk Prediction for Postoperative Complications After Tongue Cancer Surgery

Posted by By MedXY 08/18/2026
Machine learning models can effectively predict major 30-day complications following glossectomy for tongue cancer, improving individualized risk assessment over traditional methods.
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Early Prediction of Upper-Limb Recovery Poststroke Using Machine Learning: A Clinically Feasible Approach
Posted inAI Neurology news

Early Prediction of Upper-Limb Recovery Poststroke Using Machine Learning: A Clinically Feasible Approach

Posted by By MedXY 08/18/2026
A machine learning model using simple clinical tests within 72 hours poststroke accurately predicts 6-month upper-limb motor outcomes, aiding rehabilitation planning.
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MRI-Based Brain Network Disruption Predicts Long-Term Seizure Recurrence in Temporal Lobe Epilepsy Surgery
Posted inNeurology news

MRI-Based Brain Network Disruption Predicts Long-Term Seizure Recurrence in Temporal Lobe Epilepsy Surgery

Posted by By MedXY 08/17/2026
Advanced MRI connectome analysis identifies disruption of key brain hubs as biomarkers predicting long-term seizure recurrence after temporal lobe epilepsy surgery, improving postoperative risk stratification.
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Diverse Readmission Profiles After Chronic Subdural Hematoma: Insights from Machine Learning Phenotyping
Posted inNeurology news

Diverse Readmission Profiles After Chronic Subdural Hematoma: Insights from Machine Learning Phenotyping

Posted by By MedXY 08/09/2026
Readmissions following chronic/subacute subdural hematoma hospitalizations are common and mostly nonsurgical, with varied clinical trajectories. Machine learning analysis reveals distinct patient clusters with unique readmission risks, underscoring the need for tailored postdischarge care and broader trial endpoints.
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Risk-Guided Screening for Atrial Fibrillation Using Electronic Health Records
Posted inCardiology Internal Medicine news

Risk-Guided Screening for Atrial Fibrillation Using Electronic Health Records

Posted by By MedXY 07/30/2026
A machine learning model using electronic health records effectively identifies patients at high risk of atrial fibrillation, enabling targeted screening and early diagnosis to prevent stroke.
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Development and Validation of a Simplified Martin-Hopkins LDL-C Equation Using Machine Learning
Posted inCardiology news Pathology & Lab Medicine/Bệnh học

Development and Validation of a Simplified Martin-Hopkins LDL-C Equation Using Machine Learning

Posted by By MedXY 07/18/2026
This study introduces and validates a simplified machine learning-based equation for estimating LDL cholesterol, showing comparable accuracy to the original Martin-Hopkins method and improved ease of use.
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Harnessing Machine Learning to Predict Patient-Reported Outcomes After Breast Reconstruction: A Step Forward in Personalized Surgical Care
Posted inAI news Plastic Surgery

Harnessing Machine Learning to Predict Patient-Reported Outcomes After Breast Reconstruction: A Step Forward in Personalized Surgical Care

Posted by By MedXY 07/16/2026
Recent research demonstrates that machine learning algorithms can accurately predict patient-reported outcomes one year after breast reconstruction, potentially enhancing shared decision-making and individualized care planning.
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Harnessing Machine Learning for Prognostic Precision in Secondary Hemophagocytic Lymphohistiocytosis
Posted inCritical Care Hematology-Oncology news

Harnessing Machine Learning for Prognostic Precision in Secondary Hemophagocytic Lymphohistiocytosis

Posted by By MedXY 07/07/2026
The HLH-Risk-Calculator utilizes machine learning to predict initial disease severity and mortality at multiple time points in adult patients with secondary hemophagocytic lymphohistiocytosis, highlighting key biomarkers and advocating for external validation.
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Harnessing Acoustic Analysis in Primary Care to Detect Cognitive Impairment: A Novel Screening Approach
Posted inInternal Medicine Neurology news

Harnessing Acoustic Analysis in Primary Care to Detect Cognitive Impairment: A Novel Screening Approach

Posted by By MedXY 06/28/2026
Machine learning analysis of brief patient-physician conversations using acoustic speech features can effectively screen for cognitive impairment in primary care settings, enabling scalable early detection.
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Advancing Otologic Imaging: Machine Learning-Derived Synthetic CT from Temporal Bone MRI
Posted inAI news Otorhinolaryngology Radiology

Advancing Otologic Imaging: Machine Learning-Derived Synthetic CT from Temporal Bone MRI

Posted by By MedXY 06/25/2026
A machine learning algorithm can generate synthetic CT images from temporal bone MRI, enabling visualization of bone and soft tissue simultaneously without radiation, useful for otologic surgical planning and localization.
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  • Frailty as a Predictor of Surgical Outcomes in Cricopharyngeus Muscle Dysfunction: Enhancing Patient Selection and Expectations
  • Histopathologic Insights in Chronic Rhinosinusitis Linked to Intranasal Substance Use: Implications for Clinical Management
  • Environmental Burden and Its Influence on Surgical Outcomes: Unveiling the Hidden Disparities
  • Advancing Surgical Quality Assessment in Distal Gastrectomy: Automated Evaluation of the Critical View of Quality Using Computer Vision
  • Neurotensin Receptor 1: A Key Driver of Immune Exclusion and Poor Prognosis in Colorectal Cancer
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