Practice Management

Information Technology

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

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Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies.

The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare ...

Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction.

Electronic Health Records (EHRs) depict patient-related information and have significantly contribut...

Regional anaesthesia in combat settings: a position paper from military physicians.

Regional anaesthesia (RA) is a powerful tool in combat casualty care. As contemporary warfare evolve...

Artificial Intelligence in Diagnosis and Prognosis of Cognitive Impairment in Parkinson's Disease.

Parkinson's disease (PD), a progressive neurodegenerative disorder, affects millions globally, with ...

Digital twins for dynamic life cycle assessment in the built environment.

Dynamic life cycle assessment (LCA) integrated with digital twin technologies is emerging as a trans...

Preparing the workforce for the non-linear implementation of health information technology.

This article addresses how the dynamic, interdisciplinary, and non-linear nature of health informati...

Clinical decision support using pseudo-notes from multiple streams of EHR data.

Electronic health records (EHR) contain data from disparate sources, spanning various biological and...

Hybrid deep learning architecture for scalable and high-quality image compression.

The rapid growth of medical imaging data presents challenges for efficient storage and transmission,...

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...

Atomate2: modular workflows for materials science.

High-throughput density functional theory (DFT) calculations have become a vital element of computat...

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Here we propose CovSF, a deep learning model designed to track and forecast short-term severity prog...

Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.

Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatm...

Smart deep learning model for enhanced IoT intrusion detection.

Growing volumes and sensitivities of information in the growing IoT require strong cybersecurity mea...

XAI-XGBoost: an innovative explainable intrusion detection approach for securing internet of medical things systems.

The Internet of Medical Things (IoMT) has transformed healthcare delivery but faces critical challen...

Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure.

The role of electric vehicles (EV) is crucial in the shift toward sustainable transportation while r...

A hybrid AI-Blockchain security framework for smart grids.

This study delves into the vulnerability of the smart grid to infiltration by hackers and proposes m...

GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

The emergence of large language models (LLMs) opens new horizons to leverage, often unused, informat...

Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security.

The rapid adoption of Internet of Things (IoT) devices has significantly increased cybersecurity ris...

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