Latest AI and machine learning research in health policy for healthcare professionals.
Combining blockchain and federated learning has emerged as a promising solution for secure, privacy-preserving data sharing and collaborative training of machine learning models in decentralised settings. However, their methods suffer from scalability issues, computational overhead, and challenges in preserving privacy in dynamic environments such as IoT, healthcare, and smart cities. Although blo...
Cardiotoxicity remains the leading driver of drug attrition; however, its prediction remains suboptimal when conventional hERG assays and animal models are used. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer a human-relevant alternative that aligns with the CiPA initiative and ICH E14/S7B guidelines. This study validated an integrated platform that combines high-puri...
Chronic liver disease (CLD) and subsequent liver cirrhosis (LC) are common causes of death and healthcare-related socio-economical costs worldwide. Ul...
BACKGROUND: World demographic patterns reveal that the percentage of older adults has been increasing at a rapid rate with a significant number of the...
Public health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials...
BACKGROUND: In light of the growing use of artificial intelligence (AI) in health care, individuals' access to and use of health information are trans...
INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries globally. While high-quality home-based care is crucia...
PURPOSE: Motivated by the need to improve GABA+-edited magnetic resonance spectroscopy (MRS) quality, we developed a three-module framework to improve...
The growing burden of mental illness and limited access to evidence-based psychotherapy have increased interest in artificial intelligence (AI)-driven...
BACKGROUND AND OBJECTIVE: With the rapid growth of internet technologies, the transmission and storage of multimedia data have become increasingly con...
Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and middle-income countries (LMICs) often lag 20-40 perc...
BACKGROUND: The purpose of this study was to evaluate the capability of a large language model (LLM) for performing each of the steps of clinical prac...
UNLABELLED: This study aims to evaluate the reliability, quality, and readability of ChatGPT-4's responses to questions about cerebral palsy (CP) and ...
OBJECTIVE: To evaluate the efficacy of a structured guidance framework articulate, brainstorm and benchmark, critique and customize, and decide and di...
RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic ...
BACKGROUND AND PURPOSE: Current literature on deep learning-accelerated intracranial vessel wall imaging has been largely limited to postprocessing-ba...
BACKGROUND: Snakebite envenoming (SBE) is a neglected tropical disease and a major public health crisis in Africa. We integrated a maximum difference ...
INTRODUCTION: The SARS-CoV-2 pandemic provided critical insights into pandemic preparedness. The community spread can be slowed down or contained thro...
Green transport is increasingly important in improving urban air quality. Using daily air quality monitoring data at the station level, this paper emp...
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...