Artificial Intelligence Medical Compendium

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

Showing 11,441 to 11,450 of 209,934 articles

Deep Learning-Based Positive Region Segmentation and Spatial Registration of Virtual Multiplex Immunohistochemical Whole-Slide Images.

Laboratory investigation; a journal of technical methods and pathology
PURPOSE: This study aims to facilitate virtual multiplexing by establishing a deep learning-based analytical framework for precise identification and spatial reconstruction of positive regions in multiple immunohistochemistry (IHC) images. MATERIALS ... read more 

Effects of peripheral nerve damage on promoting maladaptive plasticity in the spinal cord and brain.

Neuroscience
Peripheral nerves can acquire damage through trauma, demyelinating diseases, inflammatory or immune-mediated insults, cancer, metabolic disorders, medications, toxins, and others. Damage may occur to motor, sensory, or pain fibres, or a combination, ... read more 

Interpretable and non-linear machine learning models for quantitative ICG perfusion assessment in colorectal cancer anastomosis: A feasibility study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Anastomotic leakage (AL) remains a major complication after colorectal cancer surgery (CCS). Intraoperative indocyanine green (ICG) fluorescence angiography is widely used to assess bowel perfusion, but interpretation is largely subjectiv... read more 

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
A continuing challenge in aerospace materials is the search for alloys that have desired functional properties to operate at higher temperatures with lower densities. This improves aero-engine efficiency and reduces CO2 and other harmful emissions, a... read more 

Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

Journal of medical engineering & technology
The phases of human communication consist of speech perception, production, and imagination. The objective of this work is to understand and analyse the changes that occur in the neural signals during the hearing phase by examining electroencephalogr... read more 

Erratum: Multi-Perspective Fuzzy Reasoning and XGBoost-Based Analysis of Online Learning Behavior.

Journal of visualized experiments : JoVE
This corrects the article 10.3791/69515. read more 

Multi-Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis.

Journal of clinical laboratory analysis
BACKGROUND: Carotid artery stenosis (CAS) is a major cause of ischemic stroke, yet reliable molecular biomarkers for early identification remain limited. METHODS: We integrated single-cell RNA sequencing (scRNA-seq), bulk transcriptomics, and in-hous... read more 

The robust frequency domain feature and hybrid CNN model for fatigue detection based on sEMG signal.

Computer methods in biomechanics and biomedical engineering
Excessive fatigue may cause secondary damage to the body during muscle rehabilitation. Therefore, muscle fatigue detection is essential for ensuring the safety and effectiveness of the training process. Deep-learning techniques have been widely used ... read more 

Microplastics and the Endocrine-Metabolic Interface: Novel Diagnostic Tools Targeting Thyroid-Adipose Axis.

Environmental toxicology
Microplastics (MPs) have been identified as major environmental contaminants that can affect organisms directly and act as carriers of particles and chemical additives, thereby aggravating endocrine networks that coordinate metabolic homeostasis. How... read more 

Faculty's Digital Accessibility Assistant: Does Generative AI Write Accurate, Meaningful, and Useful Alternative Text for Course Images?

Nurse educator
BACKGROUND: Alternative text (alt text) for images is critical for digital accessibility, but faculty often lack time or training to create it. Generative artificial intelligence (AI) offers a potential solution, although its effectiveness in educati... read more