Latest AI and machine learning research in surveillance for healthcare professionals.
Accurate psychological evaluation is crucial for early detection, intervention and evaluation of mental health disorders. The validity and reliability of psychological evaluation methods have been systematically researched for many decades. However, assessment methods used by mental health professionals in clinical settings have not consistently been empirically documented. This study examines the...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. Contemporary international data on SWL utilization, technical delivery, operator models, outcome assessment, and artificial intelligence (AI)-based tools are limited. This study evaluated current SWL practice patterns among urologists involved in sto...
BACKGROUND: Generative AI, large language models, and ambient AI systems are rapidly being integrated into documentation-related processes in medicine...
Secondary use is now the ordinary condition of data science health research rather than an exception to it. Electronic health records collected for cl...
OBJECTIVE: Clinical AI systems and models increasingly need traceable documentation that makes intended use, performance evidence, transparency, and l...
Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic cancer and its potential mechanisms of action rem...
BACKGROUND: Integration of large language models (LLMs) into health care has accelerated rapidly, yet reliability concerns pose potential risks to pat...
Artificial intelligence (AI) is transforming healthcare delivery globally, with increasing applications in public health dentistry. This scoping revie...
PURPOSE OF REVIEW: Amoebiasis is a parasitic infection caused by Entamoeba histolytica, affecting 10% of the global population. It is a well recognize...
Ultrasound imaging is widely used across cardiology, hepatology, obstetrics, breast and thyroid imaging, and emergency care because it is real-time, n...
Maintaining the quality and consistency of radiology reports has become increasingly challenging with the growing volume of imaging examinations. This...
Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes across multiple malignancies, but they can disrupt self-tolerance an...
Traditional research ethics governance was designed for bounded protocols, identifiable investigators, and temporally limited encounters with human pa...
BACKGROUND: Advanced HIV disease remains a major global health concern, with nearly 40.8 million people living with HIV as of 2024. Antiretroviral the...
Antimicrobial resistance poses a growing global health threat, yet large-scale surveillance and risk evaluation remain constrained by the cost and acc...
BACKGROUND: The growing population of cancer survivors faces immense monitoring burdens due to rigid follow-up guidelines, such as the intensive surve...
Systematic reviews and meta-analyses remain time-consuming and labor-intensive. We developed and validated a locally executed agentic artificial intel...
Cardiovascular risk assessment is a natural extension of lung cancer screening (LCS) because individuals eligible for low-dose computed tomography oft...
BACKGROUND: Rapid identification of large vessel occlusion (LVO) in acute ischemic stroke (AIS) is essential for reperfusion therapy. Screening tools,...
Prostate magnetic resonance imaging (MRI) reporting is a high-impact communication task because small differences in lesion laterality, sector localiz...