Artificial Intelligence Medical Compendium

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

Showing 11,191 to 11,200 of 209,934 articles

The landscape of virtual simulation in undergraduate dental education with implications for artificial intelligence incorporation.

NPJ digital medicine
Virtual simulation (VS) is pivotal in undergraduate dental education for cognitive and preclinical training. Expanding VS adoption and artificial intelligence (AI) incorporation necessitate an evidence synthesis to clarify current landscapes, challen... read more 

AI-IoT driven system for agricultural pest outbreak risk prediction.

Scientific reports
Invasive pests pose a significant threat to agricultural production, particularly maize crops, with severe implications for food security. Timely detection of pest development stages and accurate prediction of outbreak risks are essential for effecti... read more 

Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning.

Scientific reports
The timing of the initial spring water-level rise represents a key indicator of seasonal hydrological transition in snowmelt-dominated river systems of high-latitude regions. This study evaluates the capability of ensemble machine learning (ML) model... read more 

Benchmarking Multi-Modal Artificial Intelligence Models Against Student Performance: The Role of Question Characteristics in Objective Structured Practical Dental Examinations.

European journal of dental education : official journal of the Association for Dental Education in Europe
BACKGROUND: Objective Structured Practical Dental Examinations (OSPDEs) are high-stakes assessments in dental education. This study compared the performance of multimodal Artificial Intelligence (AI) models in a preclinical Orthodontics and Paediatri... read more 

What Are Computer-Assisted Methods Achieving in Fine-Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta-Analysis.

Cytopathology : official journal of the British Society for Clinical Cytology
OBJECTIVE: Pancreatic malignancies present major diagnostic challenges. The gold standard for diagnosis is endoscopic ultrasound-guided fine-needle aspiration (FNA) with cytopathological assessment. Workforce shortages have driven interest in compute... read more 

Predictive modeling and network analysis uncover novel regulators of multi-stress tolerance in Saccharomyces cerevisiae.

BMC microbiology
BACKGROUND: Understanding molecular responses to multi-stress conditions in Saccharomyces cerevisiae is crucial for optimizing industrial strains and enhancing stress tolerance. This study uses machine learning and data mining approaches to unravel t... read more 

CWAGS: multi-trait genomic selection using channel weighted attention convolutional network.

BMC genomics
BACKGROUND: Genomic selection serves as an effective approach to accelerate the improvement of agronomic traits in crops. However, as a core technique in modern crop breeding, genomic selection still faces many challenges in capturing complex interac... read more 

Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries.

Molecular medicine (Cambridge, Mass.)
BACKGROUND: Rapid population aging has profoundly altered the epidemiological profile of gastrointestinal diseases in individuals aged ≥75 years. Although enteric infections (EI) have been effectively controlled through public health interventions, t... read more 

Comparison of systolic and diastolic CT-FFR for myocardial ischemia diagnosis.

BMC medical imaging
BACKGROUND: CT-derived fractional flow reserve (CT-FFR) is a powerful tool for identifying hemodynamic ischemia. Coronary CT angiography (CCTA) images with the best quality in a cardiac cycle are conventionally reconstructed in clinical practice. To ... read more 

Decoding lactylation heterogeneity in glioblastoma: machine learning identifies G6PC3 as a prognostic target.

BMC cancer
BACKGROUND: Glioblastoma (GBM) is the most common malignant glioma in adults. It has an extremely poor prognosis, highlighting an urgent need for new therapeutic strategies to improve patient survival. Lactylation is a novel post-translational modifi... read more