Artificial Intelligence Medical Compendium

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

Showing 22,271 to 22,280 of 216,627 articles

The comprehensive evaluation of urban business under deep learning and Siamese neural network.

Scientific reports
The intensifying global competition among cities necessitates accurate and efficient evaluations of urban business environments to drive economic growth, attract investment, and foster innovation. Traditional assessment methods, often reliant on expe... read more 

Using deep learning models and exogenous production variables to forecast prices in the Brazilian sugarcane sector.

Scientific reports
This study developed price forecasting models for the CEPEA/ESALQ White Crystal Sugar and Hydrous Ethanol Fuel indicators, incorporating variables related to sugarcane supply and climatic conditions. Machine learning models such as Long Short-Term Me... read more 

Identifying the key environmental drivers of chlorophyll-a in the Danjiangkou reservoir using interpretable machine learning.

Scientific reports
Algal blooms have become a critical environmental issue worldwide, with chlorophyll-a (Chl-a) serving as a key biological indicator for assessing bloom intensity and providing essential insights into bloom dynamics. Based on four field investigations... read more 

Hierarchical knowledge distillation framework for efficient node influence prediction in large-scale complex networks.

Scientific reports
Node influence prediction is fundamental to epidemic control, viral marketing, and infrastructure resilience, yet traditional susceptible-infected-recovered (SIR) simulations require [Formula: see text] computational operations, rendering real-time a... read more 

Uncertainty aware machine learning for bridging simulation and experiment in high throughput materials characterization.

Scientific reports
High-throughput materials characterization is essential for accelerating materials discovery. To enable high-throughput characterization, machine learning (ML) has been a powerful tool. However, the broader application of ML in experimental settings ... read more 

Predicting online motor learning after stroke in lower limb task using machine learning.

Scientific reports
Online motor learning is central to effective learning and a crucial determinant of functional recovery after stroke. Despite its clinical significance, predictors of online motor learning remain understudied. Machine Learning (ML) offers a data-driv... read more 

Lightweight deep learning models for real-time IoT data analysis in resource-constrained environments.

Scientific reports
The rapid growth of Internet of Things (IoT) deployments has intensified the need for real-time data analytics using lightweight machine learning models that can operate under strict energy, latency, and reliability constraints. While existing studie... read more 

Mechanical fault diagnosis method based on multi-strategy improved SSA.

Scientific reports
To address the unstable target localization and insufficient path planning efficiency caused by complex lighting and dynamic environments during automated robotic arm loading, this study proposes a method for automated robotic arm loading that integr... read more 

Artificial intelligence assisted design of a novel cooperative learning technique for higher education.

Scientific reports
Cooperative learning has long been recognized as an effective pedagogical strategy, yet the development of innovative techniques tailored to modern educational demands remains a challenge. This study introduces the Curriculum Concept Constellation Te... read more 

User emotional mechanisms and consumption conversion in AI-generated trend toy blind boxes.

Scientific reports
Against the backdrop of the rapid diffusion of Artificial Intelligence Generated Content (AIGC) and the rise of the "surprise economy," trendy blind-box toys have emerged as a consumption context characterized by emotional stimulation and community-b... read more