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Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Showing 1870-1890 of 4,576 articles
Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey

Graph Convolutional Networks (GCNs) have emerged as a promising approach to machine learning on El...

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical car...

Decentralized Entropy-Driven Ransomware Detection Using Autonomous Neural Graph Embeddings

The increasing sophistication of cyber threats has necessitated the development of advanced detect...

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer

Early prediction of pediatric cardiac arrest (CA) is critical for timely intervention in high-risk...

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment

Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its d...

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports

Europe's healthcare systems require enhanced interoperability and digitalization, driving a demand...

AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt

Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR ...

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot

Retrieval-augmented generation (RAG) is a well-suited technique for retrieving privacy-sensitive E...

Multimodal Medical Code Tokenizer

Foundation models trained on patient electronic health records (EHRs) require tokenizing medical d...

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance

Technical standards, or simply standards, are established documented guidelines and rules that fac...

Deep learning model for ECG reconstruction reveals the information content of ECG leads

This study introduces a deep learning model based on the U-net architecture to reconstruct missing...

Towards Computer-Using Personal Agents

Computer-Using Agents (CUA) enable users to automate increasingly-complex tasks using graphical in...

Hierarchical Cryptographic Signature Mapping for Ransomware Classification: A Structural Decomposition Approach

Encryption-based cyber threats continue to evolve, leveraging increasingly sophisticated cryptogra...

CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings

Electronic health records (EHRs) provide a comprehensive source of longitudinal patient data, enco...

From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance

Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern med...

CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models

The rapid integration of the Internet of Things (IoT) and Internet of Medical (IoM) devices in the...

GENIE: Generative Note Information Extraction model for structuring EHR data

Electronic Health Records (EHRs) hold immense potential for advancing healthcare, offering rich, l...

Towards Supporting Penetration Testing Education with Large Language Models: an Evaluation and Comparison

Cybersecurity education is challenging and it is helpful for educators to understand Large Languag...

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