AI Medical Compendium Journal:
Heliyon

Showing 1 to 10 of 13 articles

AI and business management: Tracking future research agenda through bibliometric network analysis.

Heliyon
This study has been designed to analyse the academic landscape of AI on the Scopus and Web of Science (WOS) indices and compare the findings. AI is one of the most prominent and preferred research areas, only a few studies are dedicated to the biblio...

Antioxidant activity of fermentation mycelia contributions of different solvent extractions and their inhibitory effect on α-amylase.

Heliyon
spp. have historically been used as traditional medicines to treat various diseases owing to their antioxidant, antitumor, and antidiabetic activities. Polysaccharides exhibit antidiabetic activity. In the present study, the polysaccharide contents ...

Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China.

Heliyon
The quantified measurement and comprehensive analysis of artificial intelligence development (AIDEV) are vital for countries to form AI industrial ecology and promote the long-term development of regional AI technology. Based on the innovation ecosys...

Therapeutic drug monitoring of perampanel: Clinical utility and impact of co-medication on pharmacokinetic variability.

Heliyon
BACKGROUND: Perampanel (PER) is a newly developed antiseizure medication (ASM). This study aimed to determine the utilization of therapeutic drug monitoring (TDM) for PER in a real-world clinical setting and investigate the influence of concomitant u...

Understanding reminiscence and its negative functions in the everyday conversations of young adults: A machine learning approach.

Heliyon
Reminiscence is the act of recalling or telling others about relevant personal past experiences. It is an important activity for all individuals, young and old alike. In fact, reminiscence can serve different functions that can support or be detrimen...

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review.

Heliyon
The study unfolds with an acknowledgment of the extensive exploration of TRIZ components, spanning a solid philosophy, quantitative and inductive methods, and practical tools, over the years. While the adoption of Semantic TRIZ (S-TRIZ) in high-tech ...

Parametric investigation of rectangular CFRP-confined concrete columns reinforced by inner elliptical steel tubes using finite element and machine learning models.

Heliyon
Nowadays, due to the structural advantages gained by combining three different materials' properties, columns made of carbon-fiber reinforced polymer (CFRP)-confined concrete with inner steel tube have received researchers' interest. This article pre...

Argan: Phytochemical profiling and evaluation of the antioxidant, hypoglycemic, and antibacterial properties of its fruit pulp extracts.

Heliyon
Herein, we isolated three triterpenoid saponins from the methanol extract of the fruit pulp of argan The structures of the identified compounds were determined using comprehensive NMR spectroscopy analyses (H, C NMR, COSY, TOCSY, ROESY, and HSQC), co...

Efficient removal of Cr(VI) contaminant using recoverable silica from volcanic ash as natural adsorbent: Synthesis and activity in the mechanism and kinetic adsorption.

Heliyon
Modification of silica purified from the Merapi volcanic ash with magnetic material of FeO and attachment of cetyl triamine bromide (CTA-Br) on the magnetic cored has been performed to provide recoverable and positive surfaced of natural adsorbent. T...

A support vector machine approach for identification of pleural effusion.

Heliyon
In this research, we investigated the method which was based on a support vector machine (SVM) to identify pleural effusion on the thoracic image. SVM is a method of machine learning that works well when applied to data outside the training set. We f...