Latest AI and machine learning research in health policy for healthcare professionals.
Automated machine learning (AutoML) promises to democratize predictive modeling in healthcare by automating algorithm selection and hyperparameter optimization. Our objective was to compare the performance, clinical utility, and health-economic implications of traditional machine learning versus AutoML frameworks for predicting 14-day postpartum readmission using a large national cohort. We analyz...
Heart failure with preserved ejection fraction (HFpEF) accounts for over half of all heart failure cases in the United States and remains a diagnostic challenge. Non-invasive, scalable screening tools may enable earlier recognition, timely intervention, and improved care. To evaluate the performance, reproducibility, and early detection capability of an electrocardiogram-based artificial intellige...
Ongoing education in HIV care is limited for many healthcare providers working in rural and non-academic settings, which can reduce patients’ access t...
Community health workers are crucial to public health efforts in low– and middle-income countries. Despite their contributions to improving health, th...
Large language models (LLMs) have shown remarkable advancements in natural language processing, with increasing interest in their ability to handle ta...
To identify clusters of high-cost patients in England based on diagnoses and sociodemographic characteristics to inform targeted population health man...
Use of coercive measures in psychiatric hospitals is clinically and ethically challenging. Aiming to support prevention, we developed and evaluated ma...
Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existing linear scoring systems lack sufficient accuracy...
Explainable AI (XAI) is essential in clinical machine learning, yet quantitative evaluation of explanation quality is rarely reported in a reproducibl...
LLMs have encoded a vast array of medical knowledge and are being integrated into clinical settings as decision-support tools to improve physician per...
Low-dose computed tomography (LDCT) lung cancer screening has significantly enhanced early detection and patient survival rates in the population at r...
The learner's ability to generate a hypothesis that closely approximates the target function is crucial in machine learning. Achieving this requires...
Chronic urticaria, characterised by pruritic wheals, angioedema or both significantly impacts individuals' quality of life. This review article examin...
INTRODUCTION: Halfway to the deadline of the 2030 agenda, humankind continues to face long-standing yet urgent policy and management challenges to add...
Accurate ship valuations are very important in ship sales and purchase (S&P) transactions and for marine insurance purposes. It is equally important t...
Educational digitization has made integrating digital technology into physical education a pivotal strategy for transforming pedagogy. Guided by the T...
Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obesity, type 2 diabetes, and other non-communicable ...
COVID-19 has not only changed the way people live but has also altered the way all organizations operate. The most effective precautionary measure aga...
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic disparities, poor sanitation, and environmental fa...
Higher education has traditionally played the role of an overarching factor in economic growth and development. The implementation of the European Hig...