Artificial Intelligence Medical Compendium

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

Showing 911 to 920 of 6,689 articles

Optimization for threat classification of various data types-based on ML model and LLM.

Scientific reports Jul 2, 2025
With the development of AI technology, the number of cyber security threats that exploit it is increasing rapidly, and it is urgent to build an effective security threat detection system to respond to these threats. There is active research on AI-bas... read more 

Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal... read more 
Multimodal Imaging Neural Networks, Computer Magnetic Resonance Imaging Brain Neoplasms Humans Algorithms Image Processing, Computer-Assisted

Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Scientific reports Jul 2, 2025
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain's anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diag... read more 
Deep Learning ROC Curve Machine Learning Neural Networks, Computer Early Diagnosis Alzheimer Disease Nervous System Diseases Humans Magnetic Resonance Imaging

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application.

Scientific reports Jul 2, 2025
A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured using Raman spectroscopy and the data was used for ... read more 
Machine Learning Drug Liberation Spectrum Analysis, Raman Drug Delivery Systems Least-Squares Analysis

A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents.

Scientific reports Jul 2, 2025
Safeguarding Personally Identifiable Information (PII) in financial documents is essential to prevent data breaches and maintain regulatory compliance. This research presents a scalable hybrid approach that integrates rule-based Natural Language Proc... read more 

Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c... read more 
Depression Support Vector Machine Anxiety Disorders Gait Analysis Gait Bayes Theorem Biomechanical Phenomena Anxiety Male Young Adult Adult Female Machine Learning Humans

Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers.

Scientific reports Jul 2, 2025
PANoptosis is closely associated with tumorigenesis and therapeutic response, yet its role in multiple myeloma (MM) remains unclear. This study analyzed bulk transcriptomic and clinical data from the TCGA and GEO databases to identify seven PANoptosi... read more 
Humans Biomarkers, Tumor Immunotherapy Poly (ADP-Ribose) Polymerase-1 Gene Expression Regulation, Neoplastic Gene Expression Profiling Multiple Myeloma Transcriptome Prognosis Male Machine Learning Female

RareNet: a deep learning model for rare cancer diagnosis.

Scientific reports Jul 2, 2025
Although significant advances have been made in the early detection of many cancers, challenges remain in the early diagnosis of rare cancers, including Wilms tumor, Clear Cell Sarcoma of the Kidney, Neuroblastoma, Osteosarcoma, and Acute Myeloid Leu... read more 
Humans Neoplasms Rare Diseases DNA Methylation Deep Learning

A multi stage deep learning approach for real-time vehicle detection, tracking, and speed measurement in intelligent transportation systems.

Scientific reports Jul 2, 2025
In the field of intelligent transportation, accurate vehicle detection, tracking, and re-identification are essential tasks that enable real-time monitoring, congestion management, and safety improvements. To address these needs in high-traffic highw... read more 

A novel LLM time series forecasting method based on integer-decimal decomposition.

Scientific reports Jul 2, 2025
The use of traditional deep learning models for time series forecasting has demonstrated strong performance in specific domains, but their applicability remains limited due to their domain-specific nature, which restricts generalization. Inspired by ... read more 
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