Latest AI and machine learning research in surveillance for healthcare professionals.
Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical validation, or operate outside secure, health system-approved environments. We developed and clinically validated a rule-guided, agent-based LLM that assists gastrointestinal (GI) biopsy reporting by automating report structuring while preserving full d...
INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction of physiological systems, including autonomic, endocrine, immune and cardiorespiratory. Reduced HRV has been shown to be associated with adverse outcomes in several disease states. In critical illness, commonly used prognostic tools such as the Acut...
AIM: To explore how nursing students described and interpreted their use of generative artificial intelligence in relation to workplace violence durin...
OBJECTIVES: We aimed to estimate the time required to review and report cervical cytology slides within a Human Papillomavirus (HPV)-primary cervical ...
OBJECTIVE: This scoping review will map the scope and nature of the available evidence on the use of artificial intelligence-based clinical decision s...
AIM: To map and analyse how artificial intelligence technologies interact with and support clinical judgement processes in nursing across practice and...
BackgroundDementia, including Alzheimer's disease, represents one of the fastest-growing global health challenges. To coordinate research priorities, ...
BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between env...
UNLABELLED: Neonatal respiratory monitoring is essential for the early detection of clinical alterations, especially in preterm newborns. Conventional...
PURPOSE: Africa is entering a new era of cancer research, driven by renewed commitments to genomic innovation, data equity, and strengthened cancer re...
BACKGROUND: Artificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, automate image interpretation, and support clinical deci...
Precision management of Parkinson's disease (PD) requires frequent levodopa (L-dopa) dose adjustments, yet current monitoring relies on subjective sym...
BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...
As artificial intelligence (AI), particularly generative AI, is being actively introduced and utilized in medical research and manuscript writing, new...
Acute respiratory infections (ARIs) are characterized by high morbidity, strong transmissibility, and non-specific clinical manifestations, posing sub...
UNLABELLED: Norovirus is a leading cause of acute gastroenteritis worldwide due to its high contagiousness, widespread transmission, and the lack of t...
BACKGROUND: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 week...
Cancer management remains fragmented across its continuum, from late-stage diagnosis and salvage therapies to non-personalized surveillance. Here, we ...
The proliferation of hospital surveillance data in China has not been matched by publicly available, machine-readable datasets suitable for artificial...
BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation i...