Artificial Intelligence Medical Compendium

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

Showing 251 to 260 of 6,548 articles

Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing.

Scientific reports
An important part of customer relationship management (CRM) is being able to read emails for emotional cues; this helps with both communication and keeping customers satisfied. This study aims to improve email emotion identification by creating a sys... read more 

A deep ensemble framework for human essential gene prediction by integrating multi-omics data.

Scientific reports
Essential genes are necessary for the survival or reproduction of a living organism. The prediction and analysis of gene essentiality can advance our understanding of basic life and human diseases, and further boost the development of new drugs. We p... read more 

Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites.

Scientific reports
The field emission performance of aluminium-based metal matrix composites reinforced with graphene (AlGr-MMCs) has garnered significant attention due to their potential applications in advanced electronics and in materials-based cathode systems. The ... read more 

Nanopore full length 16S rRNA gene sequencing increases species resolution in bacterial biomarker discovery.

Scientific reports
Discovery of disease-related bacterial biomarkers could be a useful approach for early prevention or diagnosis of various afflictions, such as colorectal cancer. This typically involves analyzing small regions of the 16S rRNA gene (e.g. V3V4) through... read more 

Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches.

Scientific reports
Liquefaction is a phenomenon that occurs when there is a loss of strength in wet and cohesionless soil due to higher pore water pressures, and as a result, the effective stress is reduced due to dynamic loading. A construction site should first inves... read more 

Deep learning models to predict CO solubility in imidazolium-based ionic liquids.

Scientific reports
This study focuses on predicting CO solubility in imidazolium-based ionic liquids using deep learning models with input parameters of critical pressure, critical temperature, molecular weight, and acentric factor. The models evaluated include Bayesia... read more 

Application of smart technologies for predicting soil erosion patterns.

Scientific reports
Soil is a critical natural resource, and accurate erosion susceptibility assessment is vital for the optimal management and development of soil resources. Erosion susceptibility assessment is necessary for long-term conservation plans, but the proces... read more 

Machine learning of Al NMR electric field gradient tensors for crystalline structures from DFT.

Scientific reports
NMR crystallography has emerged as a promising technique for the determination and refinement of atomic coordinates in crystal structures. The crystal structure of compounds containing quadrupolar nuclei, such asĀ Al, can be improved by directly compa... read more 

Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights.

Scientific reports
Biodiesel presents a favourable economic outlook and environmental benefits, yet it faces limitations such as diminished calorific value and suboptimal combustion characteristics. Recent research focuses on enhancing biodiesel performance using nanop... read more 

Accuracy and acceptability of self-sampling HPV testing in cervical cancer screening: a population-based study in rural Yunnan, China.

Scientific reports
To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical cancer screening in rural Yunnan of China. In 2022, 3000 women aged 17-69 were recruited and provided self-sampling vaginal samples alongside provider-sa... read more