Latest AI and machine learning research in health policy for healthcare professionals.
In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of medicine, particularly in the diagnosis and treatment of colorectal cancer (CRC). In terms of data analysis, AI-assisted diagnosis and treatment has significantly improved the sensitivity of colonoscopy and the accuracy of pathological diagnosis, thereby providing robust support for CRC diagnosis. Re...
Long-Term Care (LTC) in Canada faces persistent challenges in quality, staffing, and accountability. InterRAI assessment instruments, used nationally ...
PROBLEM: High-stakes licensing exams such as the USMLE play a critical role in medical education, influencing both trainee progression and patient out...
Coronary computed tomography angiography (CCTA) has evolved into a key non-invasive tool for evaluating coronary artery disease, offering high sensiti...
PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus...
Cardiovascular magnetic resonance (CMR) can comprehensively assess cardiac function and structure, with a unique capability for tissue characterisatio...
BACKGROUND: Delayed admission to the intensive care unit (ICU) after trauma can lead to tripling of in-hospital mortality. Accurate ICU resource predi...
BACKGROUND: Health care artificial intelligence (AI) systems are increasingly integrated into clinical workflows, yet remain vulnerable to data-poison...
BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden globally. Early diagnosis and intervention can poten...
As artificial intelligence tools become increasingly integrated into emergency department workflows, healthcare providers face a growing risk of legal...
INTRODUCTION: Obstetric ultrasound is fundamental in prenatal care for gestational age (GA) estimation, fetal monitoring, and complication screening. ...
The rapid growth of electric vehicles has created an urgent need for practical end-of-life lithium-ion battery recycling systems that are technically ...
OBJECTIVES: This study aimed to investigate the impacts of chronic diseases such as hypertension, dyslipidaemia and diabetes on personal and household...
BACKGROUND: Massive transfusion protocols are established in-hospital practices for managing haemorrhagic shock, yet critical bleeding accounts for up...
Hyperspectral imaging (HSI) is a smart, non-destructive sensing that integrates spectral and spatial information, advancing fertility prediction and s...
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery mod...
OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-income countries that often requires timely diagnosis...
INTRODUCTION: Stroke ranks as the second-leading cause of death and third in combined death and disability globally. In Ghana, there is a significant ...
UNLABELLED: Opportunistic analysis of chest radiographs with deep learning detects osteoporosis cost-effectively in women aged ≥ 50 years in Singapore...