Artificial Intelligence Medical Compendium

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

Showing 21,421 to 21,430 of 216,348 articles

A Systematic Review: The Application of Attention Mechanisms in Medical Ultrasound Image Processing.

Ultrasound in medicine & biology
Among numerous medical imaging modalities, ultrasound imaging is one of the most commonly used diagnostic methods in clinical practice. However, ultrasound diagnosis heavily relies on physician experience, and diagnostic results often lack reproducib... read more 

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-care Ultrasound Devices.

Ultrasound in medicine & biology
OBJECTIVE: To develop a robust and compact deep learning model for automated knee cartilage segmentation on point-of-care ultrasound (POCUS) devices. METHODS: We propose MonoUNet, a novel, highly compact segmentation model consisting of (i) an aggres... read more 

Knee osteoarthritis severity classification in radiographs using advanced convolutional neural networks.

Journal of orthopaedics
BACKGROUND: Knee osteoarthritis (OA) is a degenerative, progressive joint disease with narrowing of the joint space, formation of osteophytes, and sclerosis of the subchondral regions, which results in disability and loss of mobility and quality of l... read more 

Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling.

Food chemistry. Molecular sciences
Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease, reflect multifactorial interactions among diet, host genetics, the environment, and the gut microbiome. However, conventional population-level dieta... read more 

Mechanochemical and machine-intelligent design of programmable materials: From molecular interactions to macroscale functionality.

Materials today. Bio
Programmable materials are an emerging class of matter capable of dynamically altering their properties, structure, or function in response to external stimuli. While most research has treated chemical and mechanical responsiveness separately, integr... read more 

Food-derived bioactive peptides in gut-muscle Axis regulation: Potential and challenges from microbiota homeostasis to muscle metabolism remodeling.

Food research international (Ottawa, Ont.)
The global population is aging at an accelerating pace, and sarcopenia has emerged as a central challenge to elderly health. Food-derived bioactive peptides, as natural functional compounds, can interact significantly with the gut microbiota, thereby... read more 

Novel machine learning fusion architectures integrating electrocardiogram representations: applications to acute coronary event detection.

European heart journal. Digital health
AIMS: AI in electrocardiography (ECG) has diverged into two paths: traditional signal processing with machine learning, and deep learning of raw waveforms. The former preserves physiological interpretability but may miss novel patterns, while the lat... read more 

Safety and diagnostic accuracy of large-language model application of PECARN head injury algorithm.

International journal of medical informatics
BACKGROUND: Clinical decision algorithms used by clinicians guide evidence-based decisions and actions. Automated tools can help with the adoption and sustainability of these algorithms, and automation is especially needed in the emergency setting wh... read more 

Multicentre MRI-based machine learning model for noninvasive prediction of pulmonary metastasis in osteosarcoma integrating intra-tumoral heterogeneity features.

European journal of radiology
OBJECTIVES: To develop and externally validate a multicenter MRI-based machine learning model integrating intra-tumoral heterogeneity (ITH) index, conventional radiomics (C-radiomics) and clinical variables for predicting one-year pulmonary metastasi... read more 

Artificial intelligence for marine oil spill management: Recent advances and future directions.

Marine environmental research
Marine oil spills are one of the most severe anthropogenic threats to oceanic ecosystems, coastal communities, and global economic stability. While traditional monitoring and response approaches have played a foundational role in oil spill management... read more