Artificial Intelligence Medical Compendium

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

Showing 20,241 to 20,250 of 215,962 articles

Machine learning-driven optimization of asphalt performance using eco-friendly waste modifiers.

Scientific reports
Sustainable road construction is crucial in minimizing energy consumption, greenhouse gas emissions, and depletion of natural resources. Traditional asphalt production practices are under scrutiny due to their environmental impact, necessitating a sh... read more 

Role of artificial intelligence in analyzing human behavior and predicting personality traits and personality disorders.

Scientific reports
Traditional approaches to the diagnosis of personality disorders, including a clinical interview and a self-report, are usually limited by subjectivity and time constraints. Recent developments in artificial intelligence have opened the possibility o... read more 

Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma.

Scientific reports
Neuro-cancer crosstalk plays an important role in the development and progression of Glioblastoma (GBM), but its specific mechanisms remain incompletely elucidated. This study aims to systematically identify key genes related to neuro-cancer crosstal... read more 

Multi-modal personalized federated learning with adaptive differential privacy for medical image classification and a privacy-preserving approach.

Scientific reports
Deep learning on medical images classification intervention needs to use large data on multi-institutional datasets but privacy laws inhibit sharing of data (GDPR, HIPAA). Federated Learning (FL) facilitates collaborative training without data transf... read more 

Machine learning-driven adaptive parameter selection for homomorphic encryption in edge computing.

Scientific reports
The rapid proliferation of Internet of Things (IoT) devices and edge computing infrastructures has intensified concerns regarding data security and privacy, particularly when sensitive information is processed beyond centralized cloud environments. H... read more 

Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees.

Scientific reports
Laser-induced breakdown spectroscopy (LIBS) is a versatile technique for characterizing materials and analyzing elements, but it is limited in its quantitative accuracy due to nonlinear effects. This study uses machine learning (ML) regression algori... read more 

Exploring the utility of artificial intelligence in identifying progression of prostate cancer during active surveillance: A systematic review.

Prostate cancer and prostatic diseases
BACKGROUND: There is a recent surge in interest in the application of artificial intelligence (AI) in prostate cancer (PCa). When evaluating PSMA PET scans, AI has shown promise in detecting intraprostatic cancer and metastatic disease. This systemat... read more 

Automated vehicle access control system using license plate recognition.

Scientific reports
To meet the increased parking challenges posed by the rapid growth in university parking demand, there is a growing demand for smart parking systems to alleviate stress on access, congestion and optimise space. In this paper we present an Automated V... read more 

Adaptive fault-tolerant control of mixed-order vehicles platoon with actuator saturation and disturbances.

Scientific reports
This paper investigates the distributed adaptive fault-tolerant control problem for mixed-order connected and autonomous vehicles (CAVs) platoon with actuator faults, saturation, external disturbances, and uncertainties. The studied mixed-order CAVs ... read more 

Weed detection in blackgram fields under occlusion and class imbalance using SA-ANMS Faster R-CNN.

Scientific reports
Sustainable agriculture has been greatly challenged by the problems of dense canopies that result in extreme occlusion, scale disparities and imbalances of classes, making it difficult to detect small and overlapping weeds in real field conditions. A... read more