Artificial Intelligence Medical Compendium

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

Showing 11,351 to 11,360 of 209,934 articles

Technology meets trust: a UTAUT-driven exploration of AI-based medical device implementation in healthcare.

International journal of health care quality assurance
PURPOSE: Healthcare sectors are increasingly adopting artificial intelligence (AI) to speed up disease diagnosis, tailor treatments to individual patients, streamline routine processes, and improve overall patient safety in hospitals. Despite its gre... read more 

Bearing capacity of inclined-loaded footings above dual tunnels in rock masses.

Scientific reports
The escalating utilization of urban underground space frequently necessitates the construction of surface structures in close proximity to subterranean tunnels. This study investigates the bearing capacity of rigid strip footings above dual square tu... read more 

Early identification of major depression risk among reproductive-age women using hormonal contraceptives in southern Ethiopia: A Machine Learning Approach.

Scientific reports
Machine-learning (ML) algorithms are increasingly valuable in health sciences because they can analyze complex, high-dimensional data and detect patterns that may not be easily identified using traditional statistical methods. These models can effici... read more 

Research progress and development strategies of antibody-oligonucleotide conjugates.

Gene therapy
Antibody-oligonucleotide conjugates (AOCs) effectively integrate the delivery capability of antibodies with the specific gene regulatory function of oligonucleotides, offering a novel strategy for extrahepatic delivery. Unlike antibody-drug conjugate... read more 

Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration.

Scientific reports
Optical transport networks rely on reactive fault management, which guarantees service disruption during the onset of soft failures. We present a framework for proactive soft-failure prediction that combines physics-inspired feature engineering, tree... read more 

Progression-guided spatiotemporal memory transformers for accurate and consistent longitudinal brain tumor segmentation.

Scientific reports
For monitoring the progression of the disease and the efficacy of treatment, it is essential to segment the brain tumor. The majority of the available deep learning models in use today are based on discrete time points without considering the continu... read more 

Multi expert integrated algorithm for kidney biopsy triage.

NPJ digital medicine
Clinical decision-making often exhibits substantial inter-physician variability when evaluating identical patient data, limiting the reliability of conventional one data-one outcome clinical decision support systems. We developed and validated a Mult... read more 

Outdoor high-precision 3D dense mapping system based on stereo visual SLAM.

Scientific reports
Traditional visual SLAM algorithms, which build maps based on sparse reconstruction, can hardly meet the demands for autonomous navigation and obstacle avoidance in outdoor environment. Therefore, we propose a visual SLAM construction algorithm to ad... read more 

Optimization of image restoration technology and AI iterative upgrade based on PCNN.

Scientific reports
This study aims to enhance the overall balance among image detail restoration, structure preservation, and model adaptability in image restoration tasks. The study proposes an optimized Pulse Coupled Neural Network (PCNN) image restoration model inte... read more