Artificial Intelligence Medical Compendium

Optical communication requires effective encryption strategies for secure information transmission. The use of different wavelengths allows optical information to be configured in different ways, while broadband photoresponse enables these wavelength... read more 

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This study aimed to develop and validate models built using machine learning methods for the diagnosis of autism spectrum disorder (ASD). A total of 851 children with suspected ASD were enrolled. Related features were acquired using the Autism Behavi... read more 

Histone deacetylase 8 (HDAC8) inhibitors are considered promising therapeutic agents for the treatment of cancer and several other diseases. In this study, regression QSAR models for HDAC8 inhibitors were developed using various types of molecular de... read more 

BackgroundThe emergence of Academic Artificial Intelligence (AAI) agents is reshaping Systematic Literature Reviews (SLR) by expanding evidence screening and synthesis beyond Boolean, metadata-based searches, but its use requires a clear, PRISMA-alig... read more 

Crystal structure prediction often yields low-energy structures that lack experimental structural confirmation. Using 3D electron diffraction, we resolve predicted piracetam Form VI from a nanocrystalline powder mixture. Free-energy calculations plac... read more 

The diffusion of generative artificial intelligence is redefining the relationship between older adults and digital technologies. Existing studies have largely explained the digital divide among older adults through traditional digital media such as ... read more 

BackgroundCutting-edge deep learning algorithms are applied to epileptic seizures to uncover hidden patterns and achieve high accuracy. Post hoc algorithms explain black-box models but do not reveal the detailed workings of the algorithms. Therefore,... read more 

PURPOSE OF REVIEW: Recent advances in the power, utility, and accessibility of artificial intelligence (AI) have enabled new methods of investigation in the biomedical sciences and opportunities to transform clinical workflows. As allergic conditions... read more 

Discovering differentially expressed genes (DEGs) is an essential process for diagnosis and treatment. In this study, we evaluate the capacity of machine learning algorithms to identify genes that are simulated as truly differentially expressed. We f... read more