Artificial Intelligence Medical Compendium

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

Showing 11,511 to 11,520 of 209,934 articles

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 

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 

Exploring multi-feedstock biodiesel-hydrogen synergies for enhanced diesel engine performance using hybrid AI techniques.

Scientific reports
In recent years of crude oil shortage and price rise, biodiesel has emerged as a new-age sustainable fuel, owing to its positives mainly providing lower amount of gas emissions and compatibility with prevailing petro-diesel engines. The contemporary ... read more 

Tobacco rattle virus triggers local defense and systemically coordinates taxoid biosynthesis in Taxus baccata revealed by integrated metabolic analysis.

Scientific reports
The clinical demand for paclitaxel necessitates novel strategies to enhance its production. While recent breakthroughs have elucidated the complete biosynthetic pathway in heterologous hosts, optimizing production within the native Taxus plant remain... read more 

Circular MIMO antenna with ML-based bandwidth and isolation prediction for 6G communications.

Scientific reports
The demanding requirements of next-generation 6G wireless systems necessitate the development of compact, wideband, and high-isolation terahertz (THz) MIMO antennas, while conventional full-wave electromagnetic optimization remains computationally ex... read more 

External validity of deep learning solution for spontaneous intracranial hemorrhage detection on head CT scans.

Scientific reports
We externally validated the performance of deep learning (DL) solution for detection of spontaneous intracerebral (ICH), intraventricular (IVH) and subarachnoid hemorrhages (SAH) on non-contrast enhanced head CT scans (NCCTs). We analyzed 901 NCCTs c... read more 

Multistage assessment of construction delay factors using expert evaluation and real project data.

Scientific reports
Construction delays remain a major challenge, especially in developing countries where financial, administrative, and resource constraints intensify schedule disruptions. This study identifies and prioritizes construction delay factors through a thre... read more 

Large-sample PCA eigenvectors stabilize cortical thickness components and improve small sample brain behavior prediction.

Scientific reports
Reproducible brain-wide association studies remain challenging in structural MRI, in part because high-dimensional cortical measures yield unstable eigenspaces in small samples. Here, using cortical thickness data from the Human Connectome Project Yo... read more 

CL-ODGAN: an unpaired attention-guided GAN framework for remote sensing image dehazing.

Scientific reports
Haze in remote sensing imagery severely degrades image quality and impedes accurate interpretation. While deep learning has advanced dehazing, its reliance on large-scale paired data is impractical for remote sensing applications. To overcome this, w... read more 

Interpretable and extrapolation-stable model for predicting nanofluid thermal conductivity.

Scientific reports
Accurate prediction of nanofluid thermal conductivity is essential for the design of advanced thermal systems; however, existing approaches often face a trade-off between predictive accuracy and physical interpretability. In this study, a physics-gui... read more