Artificial Intelligence Medical Compendium

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

Showing 9,191 to 9,200 of 208,566 articles

Retinal lesion annotation on fundus imaging: an interobserver variability study.

Scientific reports May 28, 2026
Accurate detection and segmentation of retinal lesions in fundus photographs is essential for diagnosing diabetic retinopathy (DR) and for developing reliable machine learning models for this purpose. However, the reliability of manual annotation of ... read more 

Improving airport security with IoT-powered deep learning methods for threat detection and intelligent recommendation systems.

Scientific reports May 28, 2026
This study introduces a novel framework that integrates deep learning algorithms, intelligent recommendation systems, and Internet-of-things (IoT) devices to improve airport security. Surveillance cameras are used by the system to identify potentiall... read more 

Development and evaluation of an effective solubility prediction model for pharmaceuticals in organic solvents using machine learning based on eXtreme Gradient Boosting.

Scientific reports May 28, 2026
In this work, we have examined the predictive capability of a machine leaning model based on the XGBoost framework as regards the solubility of active pharmaceutical ingredient-like molecules in organic solvents over a wide range of temperatures. A t... read more 

A novel hybrid deep learning framework for customer churn prediction using RFM and embedding clustering.

Scientific reports May 28, 2026
Customer churn prediction in E-commerce remains a challenging task due to the lack of labeled data, and the limited ability of traditional machine learning models to capture complex and dynamic customer behavior patterns. Existing approaches either r... read more 

Towards convergence of AI and blockchain for personalized medicine in pharmacogenomics.

Scientific reports May 28, 2026
The health informatics field's pursuit of personalized healthcare continuously faces constraints from patients, clinicians, and resource limitations. Recent advances in artificial intelligence (AI) and machine learning (ML) models have led to their w... read more 

Deep learning based cricket batting shot classification and performance analysis using computer vision.

Scientific reports May 28, 2026
Cricket is a sport which is played and known worldwide. It requires proper technique and execution of shots by the batsman. This research aims on classifying different types of batting shots and analysing the player's performance using computer visio... read more 

Quantum-inspired optimization of transformer-capsule networks for accurate brain tumor segmentation and classification.

Scientific reports May 28, 2026
Brain tumors represent one of the deadliest types of neurological diseases, a fact that makes early accurate diagnosis essential for the survival of patients. Tumor analysis based on deep learning, as it is currently done, has three main problems: th... read more 

Benchmarking explainable offensive language detection in Somali with human-annotated rationales.

Scientific reports May 28, 2026
Offensive language presents significant challenges on the internet and requires robust moderation. However, the efficacy of such moderation often depends on providing clear and interpretable justifications for each classification. Unfortunately, many... read more 

PipeBench: a benchmarking framework for end-to-end machine learning pipelines.

Scientific reports May 28, 2026
The integration of machine learning (ML) into modern data management systems has enabled intelligent decision-making across large-scale information infrastructures. However, existing performance benchmarks typically evaluate isolated components such ... read more 

A weld point cloud recognition method based on an improved Light Gradient Boosting Machine.

Scientific reports May 28, 2026
Accurate weld-region identification is essential for weld quality inspection and automated grinding. However, weld point clouds are highly irregular and lack explicit topological structure, which makes accurate recognition challenging. To address thi... read more 
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