Information Technology

Fundamentals of big data and artificial intelligence in transfusion medicine.

Within the digital transformation of medicine, transfusion medicine has quietly become a big-data discipline. The long-standing tradition of blood product standardization (e.g., ISBT-128) and large donor cohorts being followed over years-some of which are sampled in national biobank projects, build a favourable setting. In parallel, recent advances in artificial intelligence (AI) and data integrat...

Heat and hearts: An exposure-anchored computational phenotyping framework for assessing cardiovascular vulnerability during extreme heat.

OBJECTIVE: Extreme heat is associated with increased cardiovascular vulnerability. We developed and validated a heat exposure-anchored cardiovascular vulnerability (HECV) computational phenotype for outpatient visits using longitudinal EHR data linked to high-resolution temperature. MATERIALS AND METHODS: We assembled a loyalty cohort of adult patients from a large Chicago-based health system (201...

Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency.

Transfusion medicine generates enormous volumes of data across the vein-to-vein continuum, spanning donor characteristics, laboratory testing, compone...

Clinical Informatics and Artificial Intelligence: What the Working Emergency Physician Needs to Know.

BACKGROUND: Clinical Informatics is wide-ranging field that engages with nearly every aspect of clinical care that is documented in the electronic hea...

Feasibility of a Large Language Model Chatbot to Support Parental Understanding in the PICU.

OBJECTIVES: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering parental questions in the PICU and inform design o...

The Influence of the COVID-19 Pandemic on Current Teaching Methods, Training, and Perception among Romanian Surgery-Oriented Students: Observational, Cross-Sectional Multicentric Study.

BACKGROUND: The COVID-19 pandemic prompted rapid changes in medical education, accelerating the adoption of online and distance learning methods as al...

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study.

BACKGROUND: Extracting accurate medication information from Thai hospital records presents challenges due to the narrative style of medical notes, whi...

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

The United States health insurance system is at a critical crossroads. Inflating costs, fragmented care, and administrative inefficiencies have reveal...

HealthData@MAD-R&I: Protocol for Design and Development of a Regional Health Data Infrastructure to Enable Secondary Use of Health Data in Research and Innovation.

BACKGROUND: The exponential growth of electronic health records (EHRs), together with the recent entry into force of the European Health Data Space (E...

Machine learning prediction of positive urine cultures in an academic pediatric emergency department (ED).

BACKGROUND: Urinary tract infections (UTIs) are among the most common pediatric infections, but urine culture, the diagnostic gold standard, requires ...

A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department.

STUDY OBJECTIVE: To assess the feasibility and acceptability of using ChatGPT to obtain histories of present illnesses directly from patients or careg...

[Possibilities for integrating artificial intelligence into the diagnostic process].

BACKGROUND: The changing working conditions in routine radiological reporting require the use of new methods, such as the implementation of artificial...

Developing a practical machine learning model to predict post implantation syndrome after endovascular aneurysm repair.

BACKGROUND: Post-implantation syndrome (PIS) is recognized as a systemic inflammatory response following endovascular aneurysm repair (EVAR), characte...

Telehealth Approaches for Pediatric Otitis Media and Clinical Outcomes: Scoping Review.

BACKGROUND: Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, w...

Modernizing public health surveillance for global health security leveraging AI.

An electronic public health surveillance (e-PHS) embracing One Health and participatory approaches will collect and analyze data at the human-animal-e...

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study.

BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LTC) facilities, is increasing. This situation highl...

Current and future contributions of AI to pulmonary function test interpretation, diagnostic approaches, and predictions of disease progression.

INTRODUCTION: Artificial intelligence (AI) methods - including machine learning, deep learning, and explainable AI - are increasingly applied to pulmo...

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review.

BACKGROUND: Routine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machin...

FalsEye: proactive detection of false data injection attacks in smart grids using IceCube-optimised ensemble learning.

False Data Injection Attacks (FDIAs) represent a significant cybersecurity threat to smart grids (SGs), compromising both system stability and operati...

Clinic-first sepsis recognition in the ICU: a proteomics-guided, parsimonious model with independent validation.

BACKGROUND: Sepsis recognition in the ICU remains variable and relies on consensus clinical criteria rather than biomarker-defined rules. Routine labo...