Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 521 to 530 of 158,401 articles
Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Jul 9, 2025
The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent societal issues. We developed an artificial intelligence-assisted diagnostic system that estimated not only lumbar bone mineral density but also femora...
High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort.
Biomarker research
Jul 9, 2025
BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic reliance on prostate-specific antigen (PSA) testing is limited by suboptimal sensitivity and specificity for early-stage detection. The present study aims t...
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.
IEEE transactions on neural networks and learning systems
Jul 9, 2025
Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, posing a significant obstacle for their open-world deployment. Du...
Artificial intelligence-enhanced ECG detection of acute coronary occlusion in chest pain patients with ST-elevation in lead aVR - A direct comparison to conventional ECG criteria.
European heart journal. Acute cardiovascular care
Jul 9, 2025
An iterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus).
Scientific reports
Jul 9, 2025
This study extends previous findings by applying artificial intelligence (AI) methods to a larger dataset to identify key features that predict fear reactivity (i.e., immediate reaction to fear inducing stimuli) and fearfulness (i.e., a stable person...
Deep learning for predicting myopia severity classification method.
Biomedical engineering online
Jul 9, 2025
BACKGROUND: Myopia is a major cause of vision impairment. To improve the efficiency of myopia screening, this paper proposes a deep learning model, X-ENet, which combines the advantages of depthwise separable convolution and dynamic convolution to cl...
AI Revolution in Radiology, Radiation Oncology and Nuclear Medicine: Transforming and Innovating the Radiological Sciences.
Journal of medical imaging and radiation oncology
Jul 9, 2025
The integration of artificial intelligence (AI) into clinical practice, particularly within radiology, nuclear medicine and radiation oncology, is transforming diagnostic and therapeutic processes. AI-driven tools, especially in deep learning and mac...
Metastability and Ostwald step rule in the crystallisation of diamond and graphite from molten carbon.
Nature communications
Jul 9, 2025
Experimental challenges in determining the phase diagram of carbon at temperatures and pressures near the graphite-diamond-liquid triple point are often related to the persistence of metastable crystalline or glassy phases, superheated crystals, or s...
CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
arXiv
Jul 9, 2025
Large language models (LLMs), including zero-shot and few-shot paradigms,
have shown promising capabilities in clinical text generation. However,
real-world applications face two key challenges: (1) patient data is highly
unstructured, heterogeneou...
Estimation of lower limb joint moments using consumer realistic wearable sensor locations and deep learning - finding the balance between accuracy and consumer viability.
Sports biomechanics
Jul 9, 2025
We used raw data from wearable sensors in consumer-realistic locations (replicating watch, arm phone strap, chest strap, etc.) to estimate lower-limb sagittal-plane joint moments during treadmill running and assessed the effect of a reduced number of...
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