Artificial Intelligence Medical Compendium

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

Showing 641 to 650 of 6,689 articles

An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity.

Scientific reports
Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and the public. This Knowledge is crucial for enhancing road safety and reducing congestion, as differe... read more 

Exploring single-head and multi-head CNN and LSTM-based models for road surface classification using on-board vehicle multi-IMU data.

Scientific reports
Accurate road surface monitoring is essential for ensuring vehicle and pedestrian safety, and it relies on robust data acquisition and analysis methods. This study examines the classification of road surface conditions using single- and multi-head de... read more 

A novel heuristic Morlet wavelet neural network design for the painlevé equation-II arising in nonlinear optics.

Scientific reports
The current investigations present the novel structure of Morlet wavelet neural network (MWNN) for the numerical solutions of PainlevĂ© equation-II arising in nonlinear optics. An error based fitness function is constructed using the sense of differen... read more 

Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.

Scientific reports
Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models fo... read more 

An iterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus).

Scientific reports
This study extends previous findings by applying artificial intelligence (AI) methods to a larger dataset to identify key features that predict fear reactivity (i.e., immediate reaction to fear inducing stimuli) and fearfulness (i.e., a stable person... read more 

Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize... read more 

Hybrid fuzzy logic-PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems.

Scientific reports
This paper introduces a hybrid fuzzy logic control-based proportional-integral (FLC-PI) control strategy designed to enhance voltage stability, power quality, and overall performance of central inverters in photovoltaic power plants (PVPPs). The stud... read more 

Advantages and effectiveness of AI three-dimensional reconstruction technology in the preoperative planning of total hip arthroplasty.

Scientific reports
In order to explore the application effect of artificial intelligence (AI) 3D reconstruction technology in total hip arthroplasty (THA), this study included a total of 109 patients with unilateral femoral head ischemic necrosis. According to the preo... read more 

Predicting time-to-first cancer diagnosis across multiple cancer types.

Scientific reports
Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. However, predicting ti... read more 

Dual-level graph contrastive collaborative filtering.

Scientific reports
The latest research positions graph-based collaborative filtering as an effective strategy in recommendation systems, enabling the analysis of user preferences via user-item interaction graphs. However, such methods often struggle with data sparsity ... read more