Artificial Intelligence Medical Compendium

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

Showing 5,011 to 5,020 of 174,202 articles

Perception of AI Use in Youth Mental Health Services: Qualitative Study.

Journal of participatory medicine Aug 19, 2025
BACKGROUND: Artificial intelligence (AI) technology has made significant advancements in health care. A key application of using artificial intelligence for health (AIH) is the use of AI-powered chatbots; however, empirical evidence on their effectiv... read more 

Advances in mitigating methane emissions from rice cultivation: past, present, and future strategies.

Environmental science and pollution research international Aug 19, 2025
This paper analyzes methane emissions from rice cultivation, a major source of global methane (10-12% of emissions), driven by traditional flooding practices that create anaerobic conditions. Before 2000, continuous flooding was the dominant rice irr... read more 

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more 
Humans Diabetic Retinopathy Neural Networks, Computer Glaucoma Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Principal Component Analysis Eye Diseases Ensemble Learning

Improving risk stratification of PI-RADS 3 + 1 lesions of the peripheral zone: expert lexicon of terms, multi-reader performance and contribution of artificial intelligence.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 19, 2025
BACKGROUND: According to PI-RADS v2.1, peripheral PI-RADS 3 lesions are upgraded to PI-RADS 4 if dynamic contrast-enhanced MRI is positive (3+1 lesions), however those lesions are radiologically challenging. We aimed to define criteria by expert cons... read more 
Humans Artificial Intelligence Retrospective Studies Aged Male Middle Aged Risk Assessment Magnetic Resonance Imaging Prostatic Neoplasms

Pre-crash injury risk prediction with guaranteed confidence level: a conformal and interpretable framework.

Traffic injury prevention Aug 19, 2025
OBJECTIVE: Pre-crash injury risk prediction is crucial for proactive safety measures, while traditional models, which output single-point predictions without explaining the decision reasons, often lack interpretability and reliable uncertainty estima... read more 

Convolutional autoencoder network lithology recognition based on scratch tests.

Scientific reports Aug 19, 2025
To address the characteristic of frequent lithological alternations in the continental shale of the Songliao Basin in China and meet the refined requirements of reservoir modeling, it is necessary to establish a higher-precision lithology identificat... read more 

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps... read more 
Humans Machine Learning Biomarkers Female Infant, Newborn Adult Male Infant Gene Expression Profiling Sepsis Child, Preschool Child Computational Biology Apoptosis Cell Death

Unsupervised Gaze Representation Learning by Switching Features.

IEEE transactions on pattern analysis and machine intelligence Aug 19, 2025
It is prevalent to leverage unlabeled data to train deep learning models when it is difficult to collect large-scale annotated datasets. However, for 3D gaze estimation, most existing unsupervised learning methods face challenges in distinguishing su... read more 

Transforming sepsis management: AI-driven innovations in early detection and tailored therapies.

Critical care (London, England) Aug 19, 2025
Sepsis remains a leading cause of mortality worldwide, driven by its clinical complexity and delayed recognition. Artificial intelligence (AI) offers promising solutions to improve sepsis care through earlier detection, risk stratification, and perso... read more 
Humans Artificial Intelligence Precision Medicine Sepsis Early Diagnosis

Application of machine learning in early childhood development research: a scoping review.

BMJ open Aug 19, 2025
BACKGROUND: Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at risk of not reaching their developmental potential... read more 
Humans Machine Learning Infant Child, Preschool Child Child Development
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