Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 1,801 to 1,810 of 6,954 articles
Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data.
Scientific reports
May 20, 2025
Graphs are widely used to model interconnected systems, offering powerful tools for data representation and problem-solving. However, their reliance on pairwise, single-type, and static connections limits their expressive capacity. Recent development... read more
Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion.
Scientific reports
May 20, 2025
Implicit Aspect-Level Sentiment Analysis aims to identify aspect items and opinion items that do not appear in unstructured text. These items can be analyzed based on the semantics of the text. The analysis also seeks to determine the sentiment tende... read more
A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems.
Scientific reports
May 20, 2025
Student dropout is a critical issue that affects not only educational institutions but also students' mental well-being, career prospects, and long-term quality of life. The ability to predict dropout rates accurately enables timely interventions tha... read more
Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing.
Scientific reports
May 20, 2025
Graph neural networks are becoming increasingly popular in deep learning due to their ability to process data in irregular structures and graphs thus preserving additional spatial dependencies due to the arrangement of nodes. This network allows for ... read more
Research on the impact of green finance on regional carbon emission reduction and its role mechanisms.
Scientific reports
May 19, 2025
As a crucial instrument, green finance policy facilitates the transition toward a green and low-carbon regional economic structure, which is essential for realizing the target of "double carbon" and the harmonious coexistence of nature and humans. Th... read more
Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer.
Scientific reports
May 19, 2025
The absence of specific markers makes early detection of bladder cancer (BC) challenging. Recent studies have reported the reliable diagnostic significance of volatile organic compounds (VOCs) in several cancers. This study aimed to investigate wheth... read more
Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback.
Scientific reports
May 19, 2025
This work presents an embedded solution for detecting and classifying head-level objects using stereo vision to assist blind individuals. A custom dataset was created, featuring five classes of head-level objects, selected based on a survey of visual... read more
Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques.
Scientific reports
May 19, 2025
For many generations, hand-drawn diagrams were utilized as a common graphical means of interaction in various fields, such as engineering, architecture, and education. Because human-made graphics are inherently complicated and variable, hand-drawn di... read more
Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules.
Scientific reports
May 19, 2025
To verify the capability of the Segment Anything Model for medical images in 3D (SAM-Med3D), tailored with low-rank adaptation (LoRA) strategies, in segmenting breast tumors in Automated Breast Ultrasound (ABUS) images. This retrospective study colle... read more
Artificial intelligence based hybrid solar energy systems with smart materials and adaptive photovoltaics for sustainable power generation.
Scientific reports
May 19, 2025
The advancement of solar energy systems requires intelligent, scalable solutions that adapt to dynamic environmental conditions. This research proposes a novel AI-enhanced hybrid solar energy framework integrating spatio-temporal forecasting, adaptiv... read more
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