Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 33,881 to 33,890 of 221,510 articles

Diagnostic performance of AI-based EEG interpretation versus human clinical experts for epilepsy detection: systematic review and meta-analysis.

Journal of biomedical informatics
BACKGROUND: Electroencephalography (EEG) interpretation for epilepsy diagnosis faces persistent challenges including specialist shortages, variable interpretation accuracy, and limited accessibility. Artificial intelligence (AI)-based automated inter... read more 

Rethinking fairness in unsupervised healthcare AI: A methodological scoping review.

Journal of biomedical informatics
OBJECTIVE: Fairness in machine learning has been extensively studied in supervised settings, where labeled outcomes allow direct assessment of bias. In contrast, fairness in unsupervised learning-particularly in healthcare remains insufficiently exam... read more 

Impact of a personalized antidepressant prescription using genetics, socio-demographic and clinical data in major depressive disorder patients: A clinical study.

Journal of affective disorders
BACKGROUND: Major depressive disorder (MDD) is common and disabling, and antidepressant selection often follows a trial-and-error process. Predictix is an artificial intelligence-based clinical decision support tool integrating genetic, socio-demogra... read more 

Multimodal fusion of speech and PHQ-9 for machine learning-based adolescent depression screening.

Journal of affective disorders
BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported symptoms. However, this method is vulnerable to under-reporting and stigma, which can delay identification and referral. Integrating objective speech biomar... read more 

Multicenter validation of an artificial intelligence-enabled ECG model to predict 1-year risk of atrial fibrillation or flutter.

Heart rhythm
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia associated with an increased risk of stroke and heart failure. AF is often asymptomatic and paroxysmal, making diagnosis challenging. Artificial intelligence (AI) applied to e... read more 

Automatic detection of the fetal brain midsagittal plane on MRI using a deep learning pipeline.

American journal of obstetrics & gynecology MFM
BACKGROUND: Accurate localization of the midsagittal plane (MSP) is essential for evaluating midline brain structures such as the corpus callosum and posterior fossa on fetal MRI. However, this task is often challenging due to fetal motion and the re... read more 

Large-scale AI analysis reveals missed opportunities in albuminuria testing and disease-modifying therapy implementation.

European heart journal. Quality of care & clinical outcomes
BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD), associated with adverse cardiovascular and renal outcomes. Despite guideline recommendations, urine albumin-to-creatinine ratio (UACR) testing is in... read more 

Analyzing the deep learning approach-based modeling framework to understand the critical environmental factors of predicting daily nitrate concentrations.

Journal of environmental management
Continuous stream nitrate data is critical for understanding nutrient dynamics and informing management practices. Recent studies applied deep learning (DL) models on high-frequency nitrate sensor data to predict continuous stream nitrate concentrati... read more 

Explainable machine learning for coagulant dosage prediction in coal port wastewater treatment.

Marine pollution bulletin
Coal-laden runoff at coal ports, if inadequately treated before discharge, can compromise nearshore water quality. As the primary process for treating coal-laden runoff wastewater, coagulation dosing is largely adjusted empirically under varying infl... read more