Artificial Intelligence Medical Compendium

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

Showing 4,261 to 4,270 of 173,705 articles

A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ... read more 
Middle Aged Hepatitis Support Vector Machine Adult Male Aged Machine Learning Neural Networks, Computer Female Algorithms Humans

An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.

Scientific reports Aug 20, 2025
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f... read more 
ROC Curve Glioma Imaging, Three-Dimensional Algorithms Brain Neoplasms Humans Magnetic Resonance Imaging Support Vector Machine

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025
Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ... read more 
Male Middle Aged Retrospective Studies Aged Humans Machine Learning Female Support Vector Machine Logistic Models Risk Factors Stroke Risk Assessment

[Preoperative discrimination of colorectal mucinous adenocarcinoma using enhanced CT-based radiomics and deep learning fusion model].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods. This is a retrospective case series study. Clini... read more 

Improving OCR using internal document redundancy

arXiv Aug 20, 2025
Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection tasks, they can struggle with recognizing low-quality data. This is ... read more 
Computer Vision and Pattern Recognition Machine Learning Image and Video Processing

AI-based diagnosis of acute aortic syndrome from noncontrast CT.

Nature medicine Aug 20, 2025
The accurate and timely diagnosis of acute aortic syndrome (AAS) in patients presenting with acute chest pain remains a clinical challenge. Aortic computed tomography (CT) angiography is the imaging protocol of choice in patients with suspected AAS. ... read more 

Comment on 'Exploring the Role of Artificial Intelligence in Skin Cancer Management: Perspectives from UK Dermatologists': A Sustainability Perspective.

Clinical and experimental dermatology Aug 20, 2025
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Accurate modeling and simulation of the effect of bacterial growth on the pH of culture media using artificial intelligence approaches.

Scientific reports Aug 20, 2025
This research investigates the impact of bacterial growth on the pH of culture media, emphasizing its significance in microbiological and biotechnological applications. A range of sophisticated artificial intelligence methods, including One-Dimension... read more 
Artificial Intelligence Algorithms Neural Networks, Computer Escherichia coli Culture Media Bacteria Computer Simulation Hydrogen-Ion Concentration Pseudomonas putida

Differentiation of Suspicious Microcalcifications Using Deep Learning: DCIS or IDC.

Academic radiology Aug 20, 2025
RATIONALE AND OBJECTIVES: To explore the value of a deep learning-based model in distinguishing between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) manifesting suspicious microcalcifications on mammography. read more 

A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA prediction.

IEEE journal of biomedical and health informatics Aug 20, 2025
As circular non-coding RNA (circRNA) is closely associated with various human diseases, identifying disease-related circRNAs can provide a deeper understanding of the mechanisms underlying disease pathogenesis. Advanced circRNA-disease association pr... read more 
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