Artificial Intelligence Medical Compendium

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

Showing 3,241 to 3,250 of 168,679 articles

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?

arXiv Aug 7, 2025
While Multi-modal Large Language Models (MLLMs) have shown impressive capabilities in document understanding tasks, their ability to locate and reason about fine-grained details within complex documents remains understudied. Consider searching a re... read more 
Computer Vision and Pattern Recognition

Development and evaluation of large-language models (LLMs) for oncology: A scoping review.

PLOS digital health Aug 7, 2025
Large language models (LLMs), a significant development in artificial intelligence (AI), are continuing to demonstrate seminal improvement in performance for various text analysis and generation tasks. There are limited systematic studies on LLM appl... read more 

AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images.

PloS one Aug 7, 2025
Diabetic retinopathy (DR) is a microvascular complication of diabetes that can lead to blindness if left untreated. Regular monitoring is crucial for detecting early signs of referable DR, and the progression to moderate to severe non-proliferative D... read more 
Humans Artificial Intelligence Female Diabetic Retinopathy Neural Networks, Computer Fundus Oculi Retina Sex Factors Male Middle Aged Aged Adult

GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics.

PloS one Aug 7, 2025
Logistics networks are becoming increasingly complex and rely more heavily on real-time vehicle data, necessitating intelligent systems to monitor driver behavior and identify route anomalies. Traditional techniques struggle to capture the dynamic sp... read more 
Graph Neural Networks Deep Learning Automobile Driving Algorithms Geographic Information Systems Humans Neural Networks, Computer

Advancing smart communities with a deep learning framework for sustainable resource management.

PloS one Aug 7, 2025
BACKGROUND: The rapid development of urban systems and rising requirements for sustainable development lift resource management issues in smart communities. A fundamental problem for contemporary communities involves effectively using energy and wate... read more 
Conservation of Natural Resources Singapore Sustainable Development Humans Neural Networks, Computer Deep Learning

FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices.

PloS one Aug 7, 2025
The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under... read more 
Algorithms Deep Learning Fires Internet of Things

Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per... read more 
Male Support Vector Machine Machine Learning Algorithms Bias Coronary Disease Decision Trees Principal Component Analysis Humans

Study on the effect of light distribution on the greenhouse environment in Chinese solar greenhouse.

PloS one Aug 7, 2025
Solar greenhouse is a primary agricultural facility in northern China during winter, providing a certain level of security for the demand for vegetables and melons in the northern regions. However, there remains a lack of uniformity between crop requ... read more 
China Sunlight Light Agriculture Temperature Crops, Agricultural Soil

Instantaneous center of rotation, the first step to build up the digital laboratory of complex motions.

PloS one Aug 7, 2025
Calculating instantaneous centers of rotation to describe combined rotational and translational motions has a long history in many fields of applied science and basic rigid body kinematics. However, only some theoretical studies have explored the fun... read more 
Humans Biomechanical Phenomena Imaging, Three-Dimensional Rotation Movement Temporomandibular Joint

A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework.

PloS one Aug 7, 2025
This work proposes a new hybrid model for joint indoor localization and activity recognition by combining a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model with a Markov Random Field (MRF) for better classification. The CNN-GRU succ... read more 
Walking Markov Chains Neural Networks, Computer Algorithms Humans
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