Artificial Intelligence Medical Compendium

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

Showing 71,941 to 71,950 of 235,116 articles

Harnessing the application of artificial intelligence in identification of traditional Chinese medicines.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: The integration of artificial intelligence (AI) into pharmaceutical practice represents a paradigm shift, offering innovative solutions to long-standing challenges in the authentication and quality control of Chinese h... read more 

Extraction, preparation, pharmacological activities, and potential applications of ginsenosides Rk1 and Rg5.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Panax species (Panax ginseng, Panax quinquefolius L., and Panax notoginseng) are globally recognized as valuable medicinal and dietary resources with a long history of use in traditional medicine. Ginsenosides are thei... read more 

Generating a chemical database of organic nanomers and applying active learning to predict HOMO, LUMO and band gap: Accelerating optoelectronic nanopolymer materials discovery.

Talanta
Organic nanogrids are versatile molecular hornstones and nanoplatforms of organic high-dimensional, low-entropy materials. It is urgent to construct virtual databases of organic nanomers for accelerating the discovery and performance optimization of ... read more 

Applying an interpretation model for body fluid mixture identification.

Forensic science international. Genetics
Confirmatory body fluid identification via the detection of specific messenger RNA (mRNA) species is important in circumstances where a conventional test is not available for the questioned fluid type (such as vaginal material) or when greater sensit... read more 

Firearm brand classification using deep learning on cartridge case images.

Forensic science international
When a firearm is discharged, it leaves characteristic marks on the cartridge case, which are analyzed in forensic ballistics to identify the firearm. Conventional ballistic examination systems rely on high-quality images of cartridge cases and bulle... read more 

High-speed olfactory perception with adaptive load balancing based on a laser array reservoir computing architecture.

Neural networks : the official journal of the International Neural Network Society
In the front-end information acquisition module of intelligent olfactory systems, the inherent cross-sensitivity of gas sensors presents a significant technical challenge. While sensor-array-based architectures have been established as an effective s... read more 

A continual test-time domain adaptation method for online machinery fault diagnosis under dynamic operating conditions.

Neural networks : the official journal of the International Neural Network Society
In practical industrial scenarios, monitoring data is collected in a streaming fashion under dynamic changes in operating conditions of mechanical systems, with continual covariate shift and label shift occurring in the collected data. Traditional tr... read more 

LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting.

Neural networks : the official journal of the International Neural Network Society
Deep learning models are effective in precipitation nowcasting. However, rainfall systems, as chaotic evolving systems, entail significant uncertainty. Previous studies have addressed precipitation nowcasting tasks by utilizing current image informat... read more 

When AI Joins the Social Media Conversation: Exploring the Impact of Simulated AI-Assisted Comments on Health Risk Perceptions and Behaviors.

Health communication
Misinformation on social media has long been a pressing concern, and its spread is often exacerbated by social endorsement metrics such as likes and shares. While prior research has explored artificial intelligence (AI)-based strategies to combat mis... read more 

Rapid whole-brain T2* and susceptibility mapping using 3D multiple overlapping-echo detachment acquisition and missing modality synthesis embedded simulation.

Magnetic resonance in medicine
PURPOSE: To develop a 3D multiple overlapping-echo detachment (3D-MOLED) imaging technique, along with data generation and reconstruction strategies, for rapid whole-brain T2* and QSM. METHODS: MOLED encoding was extended to a 3D multi-shot acquisiti... read more