Artificial Intelligence Medical Compendium

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

Showing 491 to 500 of 6,647 articles

Analysis of baseball behavior recognition model based on Dual-GCN improved by motion weights.

Scientific reports Jul 15, 2025
This research aims to address the poor performance in baseball behavior recognition, insufficient connection between characters, and low accuracy in baseball behavior recognition. A motion weight improvement model based on dual-graph convolutional ne... read more 
Humans Neural Networks, Computer Athletic Performance Video Recording Baseball

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population.

Scientific reports Jul 15, 2025
Monitoring of cardiac output (CO) is a mainstay of hemodynamic management in the acutely or critically ill patient. Invasive determination of CO using thermodilution, albeit regarded as the gold standard, is cumbersome and bears risks inherent to cat... read more 
Humans Neural Networks, Computer Machine Learning Computer Simulation Female Male Middle Aged Blood Pressure Determination Blood Pressure Cardiac Output

Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization - backpropagation neural networks.

Scientific reports Jul 15, 2025
In order to calibrate the properties of the organic fertilizer particles, this work employs an integrated strategy that combines simulations, machine vision techniques, and physical experiments. Through physical testing, the fundamental physical char... read more 

Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports Jul 15, 2025
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di... read more 
Humans Algorithms Deep Learning Leukocytes Privacy

Machine learning approaches for forecasting compressive strength of high-strength concrete.

Scientific reports Jul 15, 2025
Identifying the mechanical properties of High Strength Concrete (HSC), particularly compressive strength, is critical for safety purposes. Concrete compressive strength is determined by using laboratory experiments, which are costly and time-consumin... read more 

Research on multi-branch residual connection spectrum image classification based on attention mechanism.

Scientific reports Jul 15, 2025
The acoustic spectrogram arranges the frequencies in the sound along the frequency spread, and translates the spectral changes into the intensity, wavelength and frequency of the electrical signals. Currently, the extensive use of convolutional neura... read more 

Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method.

Scientific reports Jul 15, 2025
Artificial intelligence (AI) is transforming educational technology by enabling personalized, adaptive, and data-driven learning experiences. Machine learning algorithms analyze student performance to tailor content delivery, while natural language p... read more 

Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties.

Scientific reports Jul 15, 2025
The multifaceted effects of the presence of thiophenic compounds on the environment are significant and cannot be overlooked. As heterocyclic compounds, thiophene and its derivatives play a significant role in materials science, particularly in the d... read more 

A unified ontological and explainable framework for decoding AI risks from news data.

Scientific reports Jul 15, 2025
Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented-either limited to specific domains or focused solel... read more 

Exploring the mechanism of metabolic cell death-related genes AKR1C2 and MAP1LC3A as biomarkers in Parkinson's disease.

Scientific reports Jul 15, 2025
There is a strong relationship between metabolic cell death (MCD) and neurodegenerative diseases. However, the involvement of metabolic cell death (MCD)-related genes (MCDRGs) in Parkinson's disease (PD) pathogenesis remains poorly analyzed. Integrat... read more 
Humans Biomarkers Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Parkinson Disease Cell Death Gene Expression Regulation Microtubule-Associated Proteins
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