Artificial Intelligence Medical Compendium

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

Showing 70,601 to 70,610 of 234,208 articles

Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validation.

European heart journal. Digital health
AIMS: Acute myocardial infarction (AMI) remains a leading global cause of mortality, where timely diagnosis is critical to enable early intervention. The 12-lead electrocardiogram (ECG) is a critical tool for AMI detection. While deep learning (DL) m... read more 

Multi-modal deep-learning troponin prediction from electrocardiograms and demographic data.

European heart journal. Digital health
AIMS: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and management of cardiac conditions. Prompt diagnosis using these tools can significantly improve patient outcomes. METHODS AND RESULTS: The objective of... read more 

4-Nonylphenol mediated tumor progression and immune modulation through CDK2: Computational and experimental validation.

Journal of environmental sciences (China)
As an endocrine-disrupting chemical, 4-nonylphenol (4-NP) has been found above safe limits in global water systems and associated with cancer progression. This multidisciplinary study systematically investigated the carcinogenic mechanisms of 4-NP by... read more 

"PD-PREDICT": A Machine Learning Model for Patient Survival in Peritoneal Dialysis.

ASAIO journal (American Society for Artificial Internal Organs : 1992)
Accurate survival prediction in peritoneal dialysis (PD) patients is essential for personalized treatment planning and shared decision-making. We developed and validated PD-PREDICT, an XGBoost-based model to generate dynamic mortality risk estimates ... read more 

Magnetic resonance imaging-based artificial intelligence model predicts neoadjuvant therapy response in triple-negative breast cancer.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options and poorer overall survival than other subtypes. Neoadjuvant chemotherapy (NACT) is often used to reduce tumor size and improve sur... read more 

Estimating the Causal Effect of Realistic Treatment Strategies Using Longitudinal Observational Data.

Medical decision making : an international journal of the Society for Medical Decision Making
BackgroundReal-world data can inform health care decisions by allowing the evaluation of nuanced treatment strategies. Longitudinal observational data enable the assessment of dynamic treatment regimes (DTRs), strategies that adapt treatment over tim... read more 

Small language models: The big play for agentic artificial intelligence in orthopaedics.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
While the integration of artificial intelligence in orthopedics is accelerating, the focus has largely been on powerful but resource-intensive Large Language Models (LLMs). This editorial argues for a strategic shift towards Small Language Models (SL... read more 

Machine learning-based prediction of postpartum hemorrhage using maternal clinical and biochemical features.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: This study evaluates the predictive performance of various machine learning (ML) algorithms for postpartum hemorrhage (PPH), peripartum hysterectomy, and severe coagulopathy using routinely collected pre-delivery clinical and biochemical d... read more 

Costal Cartilage Calcification in a Caucasian Population: Machine Learning Recommendations for Chest CT-guided Rhinoplasty Planning.

Facial plastic surgery : FPS
INTRODUCTION: Autologous costal cartilage calcification (CCC) can impact the course and long-term results of rhinoplasty. Preoperative information about the presence, severity, and pattern of CCC helps to assess donor site suitability and rhinoplasty... read more 

MDL-HTI: A Multimodal Deep Learning Approach for Predicting Herb-Target Interactions.

Interdisciplinary sciences, computational life sciences
PURPOSE: Traditional Chinese medicine (TCM) has garnered increasing attention from the global medical community due to its unique therapeutic principles and extensive medicinal resources. Understanding herb-target interactions (HTIs) is crucial for e... read more