AI Medical Compendium

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

Automated detection of periapical lesions in pediatric panoramic radiographs using YOLOv7: a retrospective internal validation study.

BMC pediatrics Jul 20, 2026

AIM: This study aimed to assess the diagnostic capability of a YOLOv7 deep learning algorithm for the computerized detection of periapical lesions from pediatric panoramic radiographs. Its potential utility as a supportive diagnostic tool and accurat... read more

Artificial Intelligence Medical Compendium