Artificial Intelligence Medical Compendium

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

Showing 231 to 240 of 6,548 articles

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

Scientific reports
Gene expression is an important process in which genes guide the synthesis of proteins, and molecular-level differences often lead to individual phenotypic variations. Combining molecular information at the nano-level with phenotypic information at t... read more 

Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security.

Scientific reports
In modern days, increasing weapon-related threats in public places have created an immediate need for intelligent surveillance systems to detect crime in real-time. Traditional surveillance systems have struggles with recognizing small objects, occlu... read more 

Multilingual identification of nuanced dimensions of hope speech in social media texts.

Scientific reports
Hope plays a crucial role in human psychology and well-being, yet its expression and detection across languages remain underexplored in natural language processing (NLP). This study presents MIND-HOPE, the first-ever multiclass hope speech detection ... read more 

A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin.

Scientific reports
Along with global climate change, more frequent extreme climate phenomena have led to an increasing number of and increasingly severe flood disasters. Extreme rainfall events are capable of generating substantial amounts of surface runoff. Concurrent... read more 

Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

Scientific reports
The reproducibility and robustness of many directed differentiation protocols from human induced pluripotent stem cells (hiPSCs) remain low, and the long differentiation induction period significantly limits protocol optimization. To address this, we... read more 

A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment.

Scientific reports
This study enhances cybersecurity risk assessment by integrating Bayesian Networks (BN) and Logistic Regression (LR) models, using data from the CISA Known Exploited Vulnerabilities catalog. First, a probabilistic causal model is built as a BN to cap... read more 

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments.

Scientific reports
The emerging density in today's urban environments requires a strong multi-camera architecture for real-time abnormality detection and behavior analysis. Most of the existing methods tend to fail in detecting unusual behaviors due to occlusion, dynam... read more 

Public hesitancy for AI-based detection of neurodegenerative diseases in France.

Scientific reports
Recent advances in artificial intelligence (AI) have made it possible to detect neurodegenerative diseases (NDDs) earlier, potentially improving patient outcomes. However, AI-based detection tools remain underutilized. We studied individual valuation... read more 

Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

Scientific reports
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po... read more 

Achieving environmental sustainability via an integrated shampoo optimized BiLSTM-Transformer model for enhanced time-series forecasting.

Scientific reports
Accurate forecasting plays a vital role in enhancing the efficiency of power systems, ensuring better resource management, and supporting strategic decision-making. This work presents BiLSTM-Transformer, a hybrid deep learning model that integrates B... read more