Latest AI and machine learning research in information technology for healthcare professionals.
BACKGROUND: Electronic problem lists (PLs) are central to the problem-oriented medical record and increasingly underpin clinical decision support (CDS), interoperability, and emerging artificial intelligence applications in primary care. However, persistent concerns regarding PL accuracy, completeness, and governance limit their clinical value. OBJECTIVE: To update the foundational framework propo...
The exponential growth of Intelligent Data Networks (IDNs) complex, dynamic systems encompassing IoT ecosystems, social networks, and cyber physical infrastructures-has exposed significant limitations in current analytical methodologies. Traditional approaches remain fundamentally siloed, treating structural analysis and predictive forecasting as distinct challenges addressed by specialized models...
Inpatient hypoglycemia is associated with increased morbidity, mortality, length of stay, and healthcare costs, yet current management remains reactiv...
Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constra...
BACKGROUND: Accurate proptosis measurement is vital for managing thyroid eye disease (TED) and other orbital conditions. However, current approaches h...
BackgroundAsynchronous telemedicine may support home-based pediatric palliative care (PPC) by improving access to professional guidance and reducing c...
Cardiovascular diseases remain the world's leading cause of death-yet the molecular mechanisms linking genetic variation to clinical outcomes are stil...
INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), resulting in delayed treatment, missed opportunities ...
PURPOSE: To summarize the main topics discussed during the 29th Annual Optic Nerve Rescue and Restoration Think Tank Meeting "The Future of Glaucoma: ...
INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...
BACKGROUND: Functional status is essential for assessing frailty and planning care in older adults but is often under-documented in the structured fie...
BACKGROUND: Machine learning (ML) tools are increasingly integrated into various sectors, including healthcare, where they have demonstrated disruptiv...
OBJECTIVE: To describe an exploratory initial experience with two complementary digital platforms consisting of an AI-based telemedicine system and an...
BACKGROUND: Health care systems are increasingly confronted with the challenge of managing complex clinical processes. One proposed solution is a pati...
Integrating multi-source healthcare data for predictive modeling requires rigorous data quality validation, yet concordance between data systems is ra...
Burn injuries and chronic wounds impose a substantial and growing global health and economic burden, particularly in low- and middle-income countries ...
INTRODUCTION: Carrying out a systematic review (SR) of the literature entails a high workload and encompasses a variety of very different tasks. The e...
Artificial intelligence (AI) tools are shifting from passive, user-initiated tools to proactive agentic AI systems that are capable of autonomous, mul...
BACKGROUND: Snakebite envenoming is a significant global health crisis that has been long neglected as a global health priority. It is a huge problem ...
Despite diagnosis accuracy has been much improved by depending more on deep learning for disease classification, it raises serious concerns about pati...