Artificial Intelligence Medical Compendium

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

Showing 71,721 to 71,730 of 234,892 articles

Preserving bloodstain evidence: Completely non-destructive estimation of time-since-deposition with ATR-FTIR spectroscopy and chemometrics.

Forensic science international
Determining the time since deposition (TSD) of bloodstains is critical for reconstructing events in forensic investigations. However, traditional methods often involve destructive techniques that compromise evidence integrity. This study demonstrates... read more 

Development and Validation of a Novel Plasma Metabolomic Signature for the Detection of Renal Cell Carcinoma.

European urology
BACKGROUND AND OBJECTIVE: Early diagnosis is critical for improving survival in renal cell carcinoma (RCC); yet, effective laboratory tests remain lacking. We aimed to characterise metabolic reprogramming in RCC and develop an artificial intelligence... read more 

Neural networks recruited for numerical rule learning and application.

Neuropsychologia
How do brain regions specialized for number processing interact within broader neural systems to support learning to identify and apply numeric rules? Participants performed a number rule learning task in which they viewed sequences of three numbers ... read more 

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