Artificial Intelligence Medical Compendium

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

Showing 32,531 to 32,540 of 221,076 articles

Lightweight attention enhanced YOLOv11 for accurate multi class detection of brinjal diseases.

Scientific reports
The cultivation of brinjal is seriously affected by various pathogens which affect crop yield and quality hence the importance of automated disease detection systems in precision agriculture. The conventional image-based diagnostic methods fail to di... read more 

Knowledge stickiness and technological concentration in the AI industry: an empirical study of Chinese cities.

Scientific reports
The rapid diffusion of AI in China has proceeded to an uneven pace across cities. In this study we develop a motivation-resistance framework to help study AI knowledge stickiness: motivation in capturing within-city diffusion potential, while resista... read more 

Evaluating AI in leukocyte classification: performance of the AI system against 15 morphology experts.

NPJ digital medicine
Artificial intelligence (AI)-based digital morphology analyzers are vital for clinical hematology but face critical challenges in identifying immature granulocytes and atypical cells. This study validated the MC-100i AI system against 15 morphologist... read more 

Using causal machine learning and real world data to improve dose response decision making for secukinumab in psoriatic arthritis.

Scientific reports
Personalized treatment in psoriatic arthritis (PsA) remains challenging, particularly in guiding dose escalation decisions. We applied a causal machine learning framework to real-world data from the AQUILA study to evaluate the impact of secukinumab ... read more 

Application of machine learning in osteoporosis screening: a narrative review.

NPJ digital medicine
Machine learning has the potential to address limitations of traditional osteoporosis screening through advanced data processing and pattern recognition capabilities. This review provides a critical analysis of ML applications in opportunistic screen... read more 

Interpretable deep generative ensemble learning for single-cell omics with Hydra.

Molecular systems biology
Single-cell omics enable the dissection of cellular heterogeneity, yet the high dimensionality, inherent noise, and sparsity present significant challenges. These challenges are amplified for rare cell populations, which are often difficult to annota... read more 

Deep learning-based automated masseter muscle area on routine CT stratifies survival in oral cancer.

Oral radiology
OBJECTIVES: To develop and validate a deep learning model for automated masseter muscle segmentation on routine head and neck CT and to evaluate whether the derived masseter muscle area is associated with overall survival in oral cancer. MATERIALS AN... read more 

Deep learning-based classification of nitrate and nitrite concentrations from water samples using colorimetric test strip images.

Environmental monitoring and assessment
Accurate monitoring of nitrate and nitrite concentrations in water is essential for sustainable agriculture, safeguarding public health, and protecting aquatic ecosystems from nutrient pollution. Traditional methods for detecting nitrate and nitrite ... read more 

Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review.

Neurology and therapy
INTRODUCTION: To evaluate the progress of artificial intelligence (AI)-based tools in interpreting clinical data, to compare the existing models, to identify the most proficient models and to determine the limitations of current models and existing r... read more