Information Technology

From Silos to Synergy: Mapping the Adoption and Interoperability Gaps of Clinical AI in Canadian Healthcare.

Artificial intelligence (AI) is increasingly integrated into clinical workflows worldwide, yet in Canada its adoption remains fragmented, unevenly distributed, and siloed within acute care and diagnostic imaging. To address the absence of a pan-Canadian view, Digital Health Canada's CHIEF Executive Forum convened the AI in Action Working Group, a national collaborative created to advance shared le...

Scaling Responsible Medical Text Retrieval Across Silos: Evaluating Small Language Models with Retrieval-Augmented Generation.

This study evaluates small language models with FAISS and Dynamic Top-k for diabetes-focused medical text retrieval, with all-mpnet-base-v2 performing best and FAISS (FAISS Facebook AI Similarity Search) maintaining sub-2 ms latency even at tenfold scale. Dynamic Top-k improved precision and nDCG (Normalized Discounted Cumulative Gain), showing that lightweight SLM-RAG (Small Language Model-Retrie...

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, part...

From Telemedicine to Early Warning: Embedding Artificial Intelligence in Remote Follow-Up of Diabetic Foot Ulcers.

Clinical Applications of Data Science and Machine Learning in the Pediatric Cardiac Intensive Care Unit.

To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac intensive care, focusing on algorithm performance, va...

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Primary care electronic medical records (EMRs) contain rich data that can support proactive identification of chronic health conditions. However, leve...

EC2Seq2Sql: Patient-trial matching with LLM agents.

Timely identification of patients who meet clinical trial eligibility criteria is a persistent bottleneck in trial recruitment because the criteria ar...

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-assessment tools identify only a fraction of women wh...

Data integration and systems interoperability: the prerequisite for artificial intelligence in anesthesiology.

PURPOSE OF REVIEW: Anesthesiology generates large volumes of heterogeneous perioperative data, including high-resolution physiological signals, clinic...

Windows-APT 2025: A dataset for APT-inspired attack scenarios on windows systems.

The Windows-APT Dataset 2025 represents a significant advancement in cybersecurity research, addressing critical gaps in the understanding of advanced...

Impact of AI Scribes on Physician Productivity and Workflow in Medical Oncology.

PURPOSE: Artificial intelligence (AI) scribes are being rapidly adopted in oncology, yet their real-world impact on physician productivity, workflow, ...

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associations with chronic conditions (eg, diabetes, card...

An Adaptive Blockchain Framework for Federated IoMT with Reinforcement Learning-Based Consensus and Resource Forecasting.

The rapid growth of the Internet of Medical Things (IoMT) has increased the adoption of remote healthcare applications and telemedicine services. A Ma...

Strategies for Safer Cefepime Use to Prevent Neurotoxicity Using the Electronic Health Record.

Cefepime, a cornerstone antibiotic in critical care, is associated with underrecognized cefepime-induced neurotoxicity (CIN), particularly in patients...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdTB) remains quite challenging, especially in areas ...

Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus.

BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force to evaluate the current state and future direction...

Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department.

STUDY OBJECTIVES: To describe real-world adoption of an ambient artificial intelligence (AI) scribe in the emergency department (ED) and compare docum...

Leveraging AI-Enabled Learning Health Systems to Advance Value-Based Health Care: A Conceptual Framework.

ISSUE: Despite rapid innovation, health care systems face a persistent 17-year gap between evidence discovery and implementation, undermining efforts ...

Artificial intelligence-driven predictive analytics for postoperative management and recovery in trauma patients.

PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a predictive, personalized approach. This review exami...

Bridging the Gap Between Potential and Practice: An Integrative Review of Generative Artificial Intelligence in Nursing.

BACKGROUND: Generative artificial intelligence (GAI) has emerged as a transformative tool in health care, particularly with the integration of large l...