Information Technology

Diagnostic Accuracy of a Large Language Model (ChatGPT-4) for Patients Admitted to a Community Hospital Medical Intensive Care Unit: A Retrospective Case Study.

BackgroundThe future of artificial intelligence in medicine includes the use of machine learning and large language models to improve diagnostic accuracy, as a point-of-care tool, at the time of admission to an acute care hospital. The large language model, ChatGPT-4, has been shown to diagnose complex medical conditions with accuracies comparable to experienced clinicians, however, most published...

Foundations of Clinical Informatics for Generalists: Exploring the History, Core Concepts, and Current State of Informatics in Healthcare.

The computerization of medical records began in the early 1960s and progressed steadily until federal mandates in the early 2000s triggered rapid electronic health record (EHR) adoption. While technically successful, these systems lacked the cultural and educational integration necessary for effective clinical workflows, underscoring the need for the medical specialty of clinical informatics. Its ...

Automation and Workflow Efficiency in Clinical Settings: Implementing Automation to Reduce Administrative Burdens.

Administrative tasks remain a leading contributor to physician burnout in primary care and hospital settings. Recent advancements in informatics infra...

Temperature and relative humidity prediction in South China greenhouse based on machine learning.

Prediction of the greenhouse temperature and relative humidity is very important, which can forecast the environment parameters for manual interventio...

A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden.

Bird species occurrence datasets are a valuable resource for understanding the effects of urbanization on various biotic conditions (e.g., species occ...

EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation.

BACKGROUND: Drug recommendation is a crucial application of artificial intelligence in medical practice. Although many models have been proposed to so...

Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments.

Cybersecurity has often gained much popularity over the years in a fast-evolving discipline, as the number of cybercriminals and threats rises consist...

Lossy DICOM conversion may affect AI performance.

Many pathologies have started to digitize their glass slides. To ensure long term accessibility, it is desirable to store them in the DICOM format. Cu...

Comprehensive protein datasets and benchmarking for liquid-liquid phase separation studies.

BACKGROUND: Proteins self-organize in dynamic cellular environments by assembling into reversible biomolecular condensates through liquid-liquid phase...

Trends and Innovations in Tools for Processing Chromatographic Data Using Mass Spectrometry Detection: A Systematic Review.

Chromatographic data processing represents an increasing challenge in analytical science, particularly due to the complexity of samples and the large ...

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 monitoring, enabling real-time disease detection a...

A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions.

AI-powered smart glasses are emerging as a highly promising advancement in the field of digital health management, owing to their capabilities in real...

Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms.

Malicious domains are one of the main resources mandatory for adversaries to run attacks over the Internet. Owing to the significant part of the domai...

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 cognitive impairment as a significant non-motor co...

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 evolves towards major engagements and delayed evacuation...

Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework.

Cybersecurity has been defined as a vital part of the developments, which is mainly related to technology. Enlarged cybersecurity safeguards that the ...

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 transformative approach to evaluating and managing envi...

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 temporal scales. In this work, we introduce the M...

Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health.

BACKGROUND: Human Immunodeficiency Virus (HIV) pre-exposure prophylaxis (PrEP) prevents HIV transmission but has low uptake among women. Identifying w...

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 information technology implementations require a workforce ...