Artificial Intelligence Medical Compendium

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

Showing 42,101 to 42,110 of 223,853 articles

Deciphering the Association Between Metal Sites and CO2 Adsorption in Zeolites: Tracking, Characterization, and Regulation.

ChemSusChem
The environmental hazards caused by fierce global climate change have driven the search for new routes to mitigate increasing CO2 emissions. Specifically, adsorption is highlighted herein for its great industrialization potential. Among the prevalent... read more 

Design and control of a bioinspired underwater robot with hydrogel-based flexible pectoral fins.

Bioinspiration & biomimetics
Bioinspired flexible propulsion offers a promising approach for improving the efficiency and maneuverability of underwater robots. Inspired by the undulatory locomotion of median and/or paired fin organisms, this article presents a flapping propulsio... read more 

Bioinspired additive manufacturing material optimization for increased stiffness and improved strain sensing in robotic limbs.

Bioinspiration & biomimetics
Robots traversing uneven terrain may require precise calculation of limb kinematics (e.g. foot position from joint angles and segment dimensions) and sensing of force for adaptive walking control. To facilitate these calculations, robots often have v... read more 

Use of artificial intelligence and radiomics for diagnosis and prediction of osteoporotic fractures: a systematic review.

Clinical radiology
AIM: Osteoporosis (OP) is a prevalent metabolic bone disease causing millions of fractures annually, leading to significant healthcare and economic burdens. Early diagnosis and intervention are critical, particularly among postmenopausal women and th... read more 

Evaluating the Performance of Large Language Models for Generating Emergency Department Discharge Instructions.

The Journal of emergency medicine
BACKGROUND: Clear discharge instructions are essential for safe emergency department (ED) care, yet creating patient-centered, health literate materials remain challenging. Large language models (LLMs) may improve patient communication, but their rol... read more 

Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model.

Neural networks : the official journal of the International Neural Network Society
Recommendation actively selects information for users, yet it persistently face data sparsity and cold-start problems. The incorporation of knowledge graph as side information has demonstrated effectiveness in mitigating these issues, leading to the ... read more 

Global distribution, pathogen spectrum, and invasion potential of Hyalomma anatolicum at the human-livestock interface: A systematic review, meta-analysis, and ecological niche modeling.

One health (Amsterdam, Netherlands)
Hyalomma anatolicum is an efficient vector at the human-livestock interface, yet its global ecological profile remains insufficiently defined. This study provides a comprehensive analysis by integrating data from a systematic review, meta-analysis, a... read more 

Dry Fish Image dataset: Data-driven analysis and deep learning-based classification.

Data in brief
This article presents a dry fish image dataset framework to support data-driven research in computer vision, machine learning and Deep Learning. This dataset collected from a multiple market of dry fish in Dhaka, which shows that how different they l... read more 

Wildfire-impact identification in the Western USA using numerical techniques.

Journal of environmental sciences (China)
Aerosols exhibited distinct particle size distribution (PSD) characteristics under wildfire smoke influence compared to clean conditions. To assess the impact of wildfire smoke, the k-means clustering algorithm was applied using three types of data: ... read more