Artificial Intelligence Medical Compendium

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

Showing 731 to 740 of 213,137 articles

Screening glioma and glioblastoma brain tumors using dual deep learning algorithm incorporated correlative GAN and BrainNet through the probability segmentation.

Scientific reports Jul 20, 2026
The earlier identification of the tumors in human brain can improve the life time of the affected patients. Mainly, Glioma and Glioblastoma are the primary type of brain tumors where the survival rate of the patient is low and hence it's earlier scre... read more 

Large language model accuracy in dental radiology: effects of cognitive complexity and content domain.

Scientific reports Jul 20, 2026
Large language models (LLMs) are increasingly used to answer medical questions; however, their performance may vary depending on task characteristics. This study evaluated the performance of multiple versions of two widely used LLM families on oral a... read more 

Smart hardware-integrated deep learning framework for real-time pothole detection in vehicles.

Scientific reports Jul 20, 2026
Road infrastructure plays a crucial role in transportation, and Potholes pose a significant threat to vehicle safety and maintenance costs. Traditional Pothole detection methods rely on manual inspection or expensive sensor-based systems, making them... read more 

Integrating remote testing and machine learning to identify markers of cerebellar ataxia at home.

Communications medicine Jul 20, 2026
BACKGROUND: In-person assessments face accessibility, scalability, and geographic diversity challenges, especially for rare diseases. Additionally, Cerebellar Ataxia (CA) non-motor symptoms(NMS) are often overlooked. We aimed to address these gaps by... read more 

Multi-task deep learning model for predicting EGFR mutation status in NSCLC.

NPJ digital medicine Jul 20, 2026
Multi-task DL for predicting EGFR mutation status Epidermal growth factor receptor (EGFR) mutation status is a critical biomarker in the management of non-small cell lung cancer (NSCLC), playing an essential role in selecting patients for EGFR-target... read more 

Integrated proteomics and machine learning for identifying candidate serum biomarkers in acute myocardial infarction-complicated cardiogenic shock: a prospective exploratory study.

Clinical proteomics Jul 20, 2026
BACKGROUND: Cardiogenic shock secondary to acute myocardial infarction (AMI-CS) prohibitively impacts survival. This prospective study aimed to discover and internally verify candidate serum protein biomarkers and evaluate their potential prognostic ... read more 

Machine learning-based prediction of sepsis-induced myocardial injury: external validation and SHAP interpretation.

BMC infectious diseases Jul 20, 2026
BACKGROUND: Sepsis-induced myocardial injury (SIMI) is a common complication in sepsis patients with poor prognosis. Consequently, its early accurate prediction is crucial for optimizing clinical management. METHODS: We collected data on 14,208 patie... read more 

Exploratory clinical-CT machine learning characterization of CK7 expression in clear cell renal cell carcinoma.

BMC cancer Jul 20, 2026
BACKGROUND: Cytokeratin 7 (CK7) expression in clear cell renal cell carcinoma (ccRCC) may reflect tumor phenotype and biological heterogeneity, but its clinical role remains exploratory. This study aimed to investigate associations between preoperati... read more 

Mitochondria-localized protein-encoding genes and programmed cell death-related genes reveal potential molecular perturbations underlying spontaneous preterm birth.

BMC pregnancy and childbirth Jul 20, 2026
BACKGROUND: Multiple programmed cell death (PCD) modalities, including apoptosis, autophagy, and ferroptosis, are closely implicated in spontaneous preterm birth (SPTB). Mitochondria serve as central regulators of various PCD pathways, playing a crit... read more 

Automated morphometric segmentation analysis of hand X-ray image using deep learning network.

BMC medical imaging Jul 20, 2026
BACKGROUND: The rapid development of deep learning in computer vision has led to increasing interest in its applications to medical image analysis. While many studies have focused on morphometric measurements from MR and CT images, comparatively few ... read more 
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