Artificial Intelligence Medical Compendium

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

Showing 69,541 to 69,550 of 234,067 articles

Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children.

Journal of advanced research
INTRODUCTION: Severe pneumonia is a leading infectious cause of mortality in children under 5 years globally. Early identification of high-risk cases remains challenging due to the lack of reliable stratification tools. OBJECTIVES: This study aimed t... read more 

Emerging risk factors for stroke and bleeding in patients with atrial fibrillation and heart failure-a narrative review.

Current problems in cardiology
Atrial fibrillation (AF) and heart failure (HF) frequently coexist, which leads to adverse clinical outcomes and a significant increase in the risk of both ischemic stroke and major bleeding. Although still valuable due to their widespread adoption, ... read more 

Prediction of Lung Metastasis in Breast Cancer Patients Using Machine Learning Classifiers.

The Journal of molecular diagnostics : JMD
Breast cancer is the most common cancer among women, and metastasis to the lung is associated with poor prognosis. Reliable biomarkers for predicting lung metastasis are urgently needed to improve early detection and clinical decision-making. This st... read more 

ICSH Recommendations for Monocyte Cell Lineage Morphologic Identification, Nomenclature Harmonization, and Utilization as a Biomarker.

International journal of laboratory hematology
Monocytes are key components of the Mononuclear Phagocyte System, crucial in immune defense, inflammation, and tissue repair. Accurate identification and classification of monocyte lineage cells are essential for diagnosing both reactive and clonal h... read more 

Perspectives on screening in retinopathy of prematurity: new algorithms and AI tools.

Clinical & experimental optometry
Retinopathy of prematurity (ROP) is a vasoproliferative blinding disorder of the retina, unique to premature infants and a leading cause of preventable childhood blindness globally. Screening of premature babies aims to identify disease reaching a th... read more 

From Methane to Nanodiamond Precursors in Water: Superacid-like Condensation Pathways Under Extreme Conditions.

Angewandte Chemie (International ed. in English)
The chemical behavior of water and hydrocarbons under extreme pressures and temperatures lies at the heart of processes shaping planetary interiors, influences the deep carbon cycle, and underpins innovative high-temperature, high-pressure material s... read more 

Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership.

Diagnostic cytopathology
Over four decades, Korea has advanced from a limited cytology service to a global model of digital and AI-integrated cytopathology. Since the founding of the Korean Society for Cytopathology (KSC) in 1986, a nationwide framework has been established-... read more 

Comparative Performance of YOLO Models in the Automated Segmentation of Dental Traumas on Panoramic Radiographs.

Dental traumatology : official publication of International Association for Dental Traumatology
OBJECTIVE: This study aimed to compare the performance of artificial intelligence-based deep convolutional neural networks, YOLOv8, YOLOv11, and YOLOv12, in segmenting dental injuries using panoramic films of pediatric patients with traumatic dental ... read more 

Healthbots for conducting clinical screening and remote monitoring with patient mood assessment: A scoping review.

International journal of medical informatics
BACKGROUND: Patient mood assessment is key in managing chronic diseases but is often overlooked. Although conversational agents enhance telemonitoring and engagement, few healthbots incorporate automated mood analysis into routine clinical workflows ... read more