Latest AI and machine learning research in public health & policy for healthcare professionals.
Multi-Layer Perceptron Mixer (MLP-Mixer) has replaced self-attention layers with simple spatial MLP and achieved promising performances across visual tasks. However, existing MLP-Mixer methods have quadratic complexity with image resolutions and only process the input with a fixed size. When transferring pre-trained MLP-Mixer to downstream tasks, the model creates high computational costs and requ...
Staphylococcus aureus is a leading cause of intramammary infections (IMI) in Canadian dairy herds and is frequently isolated from both clinical and subclinical mastitis cases. Persistent IMI caused by S. aureus are of particular concern, as they are often associated with economic losses due to reduced milk quality and yield, and its contagious nature allows cow-to-cow transmission during milking. ...
Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-up, and disinvestment decisions, yet many evidentia...
BACKGROUND: Mozambique has a high burden of tuberculosis (TB) and in 2021, an estimated 18,000 persons with TB nationwide were not diagnosed. Estimate...
BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserves and increased healthcare burdens. Currently, eff...
BACKGROUND: Accurate and timely early warning of seasonal influenza epidemics continues to pose a critical public health challenge. Innovative methodo...
INTRODUCTION: The use of artificial intelligence (AI), particularly conversational agents such as ChatGPT, is expanding in the healthcare industry. We...
Modern cardiology is entering a phase where improving the prevention, diagnosis, and treatment of cardiovascular diseases (CVD) necessitates a deeper ...
MRI has a central role in the diagnosis and management of prostate cancer, including active surveillance (AS) of low- and favourable intermediate-risk...
Developmental cascade models provide a valuable framework for understanding how risk and protective factors interact over time to shape health and beh...
OBJECTIVES: This study aimed to develop and implement robotic process automation (RPA) for identifying missing codes during insurance claim post-revie...
Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective o...
OBJECTIVE: The 2025 measles outbreak in Mexico (5741 cases) marked a severe decline in immunization resilience. We aimed to measure this systemic vuln...
INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infectious diseases, particularly viral pathogens. Human...
Alzheimer's disease (AD) is a progressive neurodegenerative disease of the nervous system, which has become an important public health issue attractin...
BACKGROUND: In the field of patient monitoring, there often remains a gap between clinical needs and the monitoring technologies available from indust...
BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with ...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies al...
OBJECTIVE: To develop a machine learning (ML) algorithm that improves accuracy compared to the Hierarchical Condition Category (HCC) score used by the...
BACKGROUND: Current literature on AAA is characterized by selective outcome reporting, while guideline recommendations are frequently based on studies...