Artificial Intelligence Medical Compendium

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

Showing 1,841 to 1,850 of 165,462 articles

StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection

arXiv Jul 31, 2025
Liver diseases are a serious health concern in the world, which requires precise and timely diagnosis to enhance the survival chances of patients. The current literature implemented numerous machine learning and deep learning models to classify liv... read more 
Machine Learning Artificial Intelligence

GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration

arXiv Jul 31, 2025
Active Geo-localization (AGL) is the task of localizing a goal, represented in various modalities (e.g., aerial images, ground-level images, or text), within a predefined search area. Current methods approach AGL as a goal-reaching reinforcement le... read more 
Computer Vision and Pattern Recognition

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis

arXiv Jul 31, 2025
Medical image annotation is constrained by privacy concerns and labor-intensive labeling, significantly limiting the performance and generalization of segmentation models. While mask-controllable diffusion models excel in synthesis, they struggle w... read more 
Computer Vision and Pattern Recognition

A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease.

BMC pediatrics Jul 31, 2025
BACKGROUND: Kawasaki disease (KD) mainly occurs in children under 5 years old, and the most common complication of KD is coronary artery lesion (CAL). In recent years, the incidence rate of KD has increased year by year worldwide, so it is particular... read more 
Retrospective Studies Female Humans Machine Learning Risk Assessment Infant Child, Preschool Risk Factors Male Coronary Artery Disease Propensity Score ROC Curve Mucocutaneous Lymph Node Syndrome

Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation.

BMC medical imaging Jul 31, 2025
This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation (N... read more 
Middle Aged Deep Learning Aged Humans Male Tomography, X-Ray Computed Language Female Rectal Neoplasms Chemoradiotherapy Neoadjuvant Therapy Large Language Models Magnetic Resonance Imaging

Clinical decision support for vestibular diagnosis: large-scale machine learning with lived experience coaching.

NPJ digital medicine Jul 31, 2025
Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-taking required. While machine learning approaches have shown promise in medical diagnostics, their application to vestibular disorder classification ha... read more 

First-Person Plural (Versus Singular) Pronoun Use Is Linked to Greater Perception of AI Threat.

Personality & social psychology bulletin Jul 31, 2025
Artificial intelligence (AI) brings immediate benefits but also raises potential risks. Despite much discussion on AI threat, how subtle linguistic cues, such as first-person pronouns, influence its perception remains unclear. Proposing a scope-expan... read more 

Impact of Hyperparameter Optimization on the Accuracy of Lightweight Deep Learning Models for Real-Time Image Classification

arXiv Jul 31, 2025
Lightweight convolutional and transformer-based models have become vital for real-time image classification in resource-constrained applications, such as embedded systems and edge devices. This work analyzes the influence of hyperparameter adjustme... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning

VMatcher: State-Space Semi-Dense Local Feature Matching

arXiv Jul 31, 2025
This paper introduces VMatcher, a hybrid Mamba-Transformer network for semi-dense feature matching between image pairs. Learning-based feature matching methods, whether detector-based or detector-free, achieve state-of-the-art performance but depen... read more 
Computer Vision and Pattern Recognition

Integration of RNN and CatBoost models in a tea-waste biochar filtration system for toxic organic pollutant removal efficiency prediction.

RSC advances Jul 31, 2025
Water pollution is a dreadful global crisis undermining the environment and economy. In order to combat this issue, several methods and techniques are adopted for treating the polluted water. Adsorption by biowastes is one of the most economically vi... read more 
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