Artificial Intelligence Medical Compendium

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

Showing 541 to 550 of 6,669 articles

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Scientific reports
Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anxiety, depression, and social isolation. Psychological research suggests that cyberbullying victims may experience long-term psychological consequences... read more 

Investigation of spark ignition engine performance in ethanol-petrol blended fuels using artificial neural network.

Scientific reports
The increasing global cost of fossil fuels and growing environmental concerns have accelerated the search for sustainable energy alternatives, positioning bioethanol as a promising renewable fuel for spark-ignition (SI) engines. This study uniquely i... read more 

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

Scientific reports
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 

Landslide data sample augmentation and landslide susceptibility analysis in Nyingchi City based on the MCMC model.

Scientific reports
This study aims to improve landslide susceptibility analysis in Nyingchi City by addressing the challenge of limited landslide sample data. A total of 11 influencing factors-including elevation, slope, aspect, terrain roughness, terrain moisture inde... read more 

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

Scientific reports
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 

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

Scientific reports
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 

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

Scientific reports
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 

Multiobjective optimization of CO injection under geomechanical risk in high water cut oil reservoirs using artificial intelligence approaches.

Scientific reports
To obtain the maximum field oil recovery (FOR) and CO sequestration ratio (CSR), it is imperative to optimize the CO injection and liquid production rate. However, previous studies ignore the geomechanical risks indeed. Therefore, a hybrid optimizati... read more 

Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

Scientific reports
Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the standard treatment for stage II and III esophageal cancers, it is associated with severe adverse events caused by docetaxel. Consequently, this study aime... read more 

Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning.

Scientific reports
Bladder cancer (BLCA) is a prevalent urological malignancy that exhibits a high degree of tumor heterogeneity and morbidity. Tumor angiogenesis, a vital hallmark of cancer, greatly influences the tumor microenvironment (TME). The emergence of anti-an... read more