Artificial Intelligence Medical Compendium

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

Showing 1,751 to 1,760 of 165,003 articles

Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat... read more 
Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Brain Neoplasms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Neoplasm Grading

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Journal of chemical information and modeling Jul 30, 2025
Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity while preserving core molecular features and optimizing the balance between biological activity and drug-like properties. To address these challenges, we... read more 

Reconstructing Super-Resolution Raman Spectral Image Using a Generative Adversarial Network-Based Algorithm.

Analytical chemistry Jul 30, 2025
Raman imaging utilizes molecular fingerprint information to visualize the spatial distribution of a substance within the scanned area. Subject to its scanning mechanism, it usually costs a prolonged data acquisition duration for achieving high-resolu... read more 

Adduct-Induced Variability in Tandem Mass Spectrometry.

Analytical chemistry Jul 30, 2025
Tandem mass spectrometry (MS/MS) provides essential structural information and plays a central role in compound annotation in metabolomics. While different precursor ion types are expected to influence the generation of MS/MS spectra, systematic inve... read more 

Resilient State Recovery using Prior Measurement Support Information

arXiv Jul 30, 2025
Resilient state recovery of cyber-physical systems has attracted much research attention due to the unique challenges posed by the tight coupling between communication, computation, and the underlying physics of such systems. By modeling attacks as... read more 
Optimization and Control Systems and Control Systems and Control

CellMet: Extracting 3D shape and topology metrics from confluent cells within tissues.

PLoS computational biology Jul 30, 2025
During development and tissue repair, cells reshape and reconfigure to ensure organs take specific shapes. This process is inherently three-dimensional (3D). Yet, in part due to limitations in imaging and data analysis, cell shape analysis within tis... read more 

AlphaDent: A dataset for automated tooth pathology detection

arXiv Jul 30, 2025
In this article, we present a new unique dataset for dental research - AlphaDent. This dataset is based on the DSLR camera photographs of the teeth of 295 patients and contains over 1200 images. The dataset is labeled for solving the instance segme... read more 
Computer Vision and Pattern Recognition Machine Learning

Mesh based segmentation for automated margin line generation on incisors receiving crown treatment

arXiv Jul 30, 2025
Dental crowns are essential dental treatments for restoring damaged or missing teeth of patients. Recent design approaches of dental crowns are carried out using commercial dental design software. Once a scan of a preparation is uploaded to the sof... read more 
Computational Engineering, Finance, and Science Computer Vision and Pattern Recognition Machine Learning

Toward Disentangled and Controllable Deep Metric Learning With Human-Like Concept Decomposition.

IEEE transactions on neural networks and learning systems Jul 30, 2025
Deep metric learning (DML) has shown significant advancements in learning discriminative embeddings for images, playing a crucial role in various vision tasks. However, existing methods typically rely on deep neural networks to extract holistic embed... read more 

A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing.

Scientific reports Jul 30, 2025
The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) m... read more 
Humans Pandemics COVID-19 SARS-CoV-2 Deep Learning Social Media
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