Artificial Intelligence Medical Compendium

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

Showing 52,311 to 52,320 of 225,279 articles

Cost-effective ecological monitoring in shallow waters using amphibious unmanned aerial vehicles (AUAV) and deep learning-based computer vision.

Marine environmental research
Traditional marine monitoring techniques, like line intercept transects, are inefficient. Modern methods, including autonomous underwater vehicles (AUVs) and Portable Speedy Sea Scanner (P-SSS), face high costs and labor demands, with limited data qu... read more 

AW-EL-PINNs: A multi-task learning physics-informed neural network for Euler-Lagrange systems in optimal control problems.

Neural networks : the official journal of the International Neural Network Society
This paper presents adaptive weighted Euler-Lagrange theorem combined physics-informed neural networks (AW-EL-PINNs) for solving Euler-Lagrange systems in optimal control problems. The framework systematically converts optimal control frameworks into... read more 

MS-STFNN: A multi-scale spatio-temporal fusion neural network for fMRI-based depression diagnosis.

Neural networks : the official journal of the International Neural Network Society
Major depressive disorder (MDD) is a common mental disorder. Current clinical diagnosis primarily relies on subjective scales, underscoring an urgent need to develop objective neuroimaging diagnostic methods. Brain network analysis and deep learning ... read more 

Rare microbial taxa as potential drivers of yield variation in sauce-flavor baijiu fermentation: Insights from microecology and machine learning.

International journal of food microbiology
The multi-round, solid-state fermentation process of sauce-flavor baijiu exhibits substantial fluctuations in baijiu yield. However, the microecological factors underlying yield variation and their regulatory strategies remain unclear. Here, we syste... read more 

Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encountered respiratory disease. Its clinical symptoms are characterized by long-term coughing, expectoration, and other airway symptoms, resulting in signif... read more 

Seasonal dynamics of emerging and legacy PFAS in the Beibu Gulf: Insights from a combined source apportionment and predictive modeling approach.

Environmental research
Emerging and legacy per- and polyfluoroalkyl substances (PFAS) have become a growing concern in coastal waters, as regulatory phase-outs and short-chain replacements reshape their occurrence patterns. Yet the extent to which seasonally distinct sourc... read more 

Prenatal alcohol exposure and the retrosplenial cortex: Structural and functional mechanisms across species.

Progress in neuro-psychopharmacology & biological psychiatry
The retrosplenial cortex (RSC) is a structurally and functionally complex hub with broad connectivity, integrating sensory inputs, cognitive states, and memory to guide behavior. It supports perspective transformation, predictive modeling, and memory... read more 

Lesion network mapping in pediatric epilepsy.

Progress in neuro-psychopharmacology & biological psychiatry
OBJECTIVE: To describe the current use, limitations, and future directions of lesion network mapping in pediatric epilepsy. METHODS: Narrative review of lesion network mapping with a comprehensive review of the lesion network mapping pediatric epilep... read more 

Elucidating the toxicological impact and mechanism of plasticizers exposure on Alzheimer's disease through network toxicology and molecular docking.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
This study aimed to explore the underlying mechanisms and key targets of widely used plasticizers, including dimethyl phthalate (DMP), diethyl phthalate (DEP), and dioctyl phthalate (DOP), in the pathogenesis of Alzheimer's disease (AD). Network toxi... read more 

From clinics to the environment: A systematic review of machine learning and MALDI-TOF MS in the identification of antimicrobial-resistant bacteria.

Journal of microbiological methods
As a result of the increasing prevalence of Antibiotic-resistant bacteria (ARB) and antibiotic-resistant genes (ARGs) in both community and hospital settings, their identification by conventional approaches has been posing a significant issue for dec... read more