Latest AI and machine learning research in public health & policy for healthcare professionals.
PURPOSE: Social media is vital for improving healthcare access, especially among disadvantaged groups. During the COVID-19 pandemic, young breast cancer survivors (YBCSs) in China increasingly relied on social media for health information, shaping their experiences and needs. However, little is known about how their online behaviors changed during such crises. This study examines the characteristi...
Lateral flow immunoassays (LFIAs) provide rapid point-of-care results but lack quantitative capabilities. This study presents a platform technology integrating full-spectrum analysis (400-700 nm) with machine learning to enhance qualitative LFIAs with semi-quantitative assessment capabilities. We analyzed 241 clinical nasopharyngeal specimens using portable spectrometry to capture gold nanoparticl...
Cyberbullying poses a substantial threat to adolescents' well-being, yet prevention efforts remain limited by insufficient understanding of its multil...
As radiology AI systems move from predeployment validation to routine radiology practice, attention is shifting toward postdeployment monitoring and p...
BACKGROUND: Bladder cancer is a common and highly recurrent malignancy requiring lifelong surveillance. Urine cytology serves as a noninvasive triage ...
Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during th...
BACKGROUND: The UK reports approximately 2000 imported malaria cases annually, necessitating effective surveillance to determine infection sources and...
BACKGROUND: Birth weight is a reliable indicator of intrauterine growth and an important predictor of neonatal survival, growth, and long-term develop...
BACKGROUND: Health systems are expected to reduce environmental impacts while preserving safe, continuous and equitable care. Artificial intelligence ...
Background: Crisis lines provide evidence-based suicide prevention support that often involves active listening, safety assessment, collaborative prob...
INTRODUCTION: Transcatheter aortic valve replacement (TAVR) has transformed the management of severe aortic stenosis across all surgical risk strata. ...
In the rapidly evolving industry, the need for surveillance is highly needed for the safety of confidential and highly sensitive organizations. With t...
BACKGROUND: Artificial intelligence tools such as ChatGPT are increasingly used by the public to seek health-related information. However, the accurac...
In-stent restenosis (ISR) remains a significant complication after percutaneous coronary intervention. Identifying patients at high risk for ISR from ...
BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...
The rapid expansion of artificial intelligence (AI) in healthcare has led to increasing adoption of AI-based software as a medical device (SaMD). This...
The misuse of benzodiazepines (BZDs) and Z-drugs poses significant global public health challenges. This study maps the scientific evolution and parad...
Generative AI is now embedded in scholarly workflows, yet publishing policy has often jumped to permission or prohibition without first defining what ...
Recurrent ischemic stroke remains a major global health challenge, accounting for substantial disability and mortality despite advances in acute manag...
AIMS: Evidence regarding statin adherence among patients with hypertension in primary care is limited. We assessed statin adherence in Swedish primary...