Artificial Intelligence Medical Compendium

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

Showing 9,851 to 9,860 of 208,614 articles

Eroding heat resilience in South Asian cities under observed warming trends.

Scientific reports
Rapidly urbanising South Asian cities face increasing thermal risk, but comparative, physically grounded studies of their structural capacity to withstand heat loading are rare. We utilize a stacked ensemble of five machine learning architectures (Ra... read more 

Personalized neoadjuvant treatment regimen selection in locally advanced rectal cancer based on regimen-specific response modeling.

NPJ digital medicine
Neoadjuvant therapy is standard for locally advanced rectal cancer (LARC), yet regimen selection remains population-based, risking over- or undertreatment. We developed and validated a deep learning framework that provides a generalizable paradigm fo... read more 

Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia.

Leukemia
Flow cytometry (FC) is essential for detecting measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL), but its use is limited by the expertise and time required for manual analysis. We developed an artificial intelligence (AI) pipeli... read more 

Development of soil surface wetness models using machine learning techniques in the selected sites in Punjab, North-Western India.

Scientific reports
Accurate prediction of soil surface wetness (SSW) is vital for effective land management and resource optimization, particularly in sensitive ecosystems like the Western Himalayas. The main objective of the present study is to improve the accuracy of... read more 

A machine learning system enables just-in-time risk-stratified sepsis evaluations in the neonatal intensive care unit.

Journal of perinatology : official journal of the California Perinatal Association
INTRODUCTION: NICU sepsis evaluation balances rapid antibiotic administration for mortality reduction against unnecessary treatment. Objective risk stratification optimizes resource allocation. METHODS: We retrospectively studied 191 sepsis evaluatio... read more 

Machine learning-driven evaluation of mechanical and microstructural properties of agro-waste-derived geopolymer concrete.

Scientific reports
The growing demand for sustainable construction materials has accelerated research into eco-friendly alternatives to traditional Portland cement. This research explores the potential of geopolymer concrete formulated from agricultural-waste ashes as ... read more 

The landscape of virtual simulation in undergraduate dental education with implications for artificial intelligence incorporation.

NPJ digital medicine
Virtual simulation (VS) is pivotal in undergraduate dental education for cognitive and preclinical training. Expanding VS adoption and artificial intelligence (AI) incorporation necessitate an evidence synthesis to clarify current landscapes, challen... read more 

AI-IoT driven system for agricultural pest outbreak risk prediction.

Scientific reports
Invasive pests pose a significant threat to agricultural production, particularly maize crops, with severe implications for food security. Timely detection of pest development stages and accurate prediction of outbreak risks are essential for effecti... read more 

Assessing the onset of spring water-level rise in snowmelt-dominated rivers of northeastern Russia using machine learning.

Scientific reports
The timing of the initial spring water-level rise represents a key indicator of seasonal hydrological transition in snowmelt-dominated river systems of high-latitude regions. This study evaluates the capability of ensemble machine learning (ML) model... read more 

Benchmarking Multi-Modal Artificial Intelligence Models Against Student Performance: The Role of Question Characteristics in Objective Structured Practical Dental Examinations.

European journal of dental education : official journal of the Association for Dental Education in Europe
BACKGROUND: Objective Structured Practical Dental Examinations (OSPDEs) are high-stakes assessments in dental education. This study compared the performance of multimodal Artificial Intelligence (AI) models in a preclinical Orthodontics and Paediatri... read more