Latest AI and machine learning research in surveillance for healthcare professionals.
Sewer systems are critical to public health and urban economies, yet failures cause overflows, pollution, and costly disruption. Smart sewer systems combine sensors, communications, and data analytics to monitor conditions, support operational control, and guide maintenance, enabling optimised management and reducing health and environmental impacts. This review systematically analysed real-world ...
Using national registers, this study investigates regional variations in the number of individuals with and treatment of atopic dermatitis (AD) in Denmark. AD, a prevalent chronic skin disorder, affects up to 20% of children and 3% of adults globally; yet its epidemiology in Denmark remains unclear. A recent study indicated a lifetime prevalence of 21% among school-aged children in Odense, a mediu...
Human-induced climate change caused by fossil fuel-derived greenhouse gas emissions has disrupted global ecosystems, shifted disease-vector population...
As a result of the increasing prevalence of Antibiotic-resistant bacteria (ARB) and antibiotic-resistant genes (ARGs) in both community and hospital s...
This study investigates how emotional intelligence and AI techniques can classify user-reported issues in retail mobile banking apps and examine the a...
A retrospective cohort study compared generative artificial intelligence (GenAI) versus infection control expert for catheter-associated urinary tract...
BACKGROUND: Access to provincial health-related data for multi-jurisdictional studies in Canada is restricted by privacy laws. Synthetic data (SD), wh...
The rising rate of drug-related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical ...
The large amount of data collected through automatic milking systems (AMS) may be used for early detection of intramammary infections and become instr...
BACKGROUND: Intracranial aneurysm affect 3-7% of the global population, with rupture causing > 80% of non-traumatic subarachnoid hemorrhage and approx...
BACKGROUND: Warfarin remains one of the most widely used anticoagulants; however, its narrow therapeutic index means that even small dosing deviations...
BACKGROUND: The integration of large language models (LLMs) such as ChatGPT into radiology has introduced new possibilities for structured reporting. ...
Blood flow monitoring is fundamental for assessing cardiovascular health and identifying vascular complications. Traditional Doppler ultrasound method...
The escalation of violent incidents in high-density public environments such as political assemblies, concerts, and sports arenas necessitates the dev...
PURPOSE OF REVIEW: Achieving long-term survival after lung transplantation remains a major challenge. Outcome determinants have expanded beyond pathop...
PURPOSE: To evaluate the capability of large language models (LLM), specifically GPT-4 and o1, in assessing adherence to the MI-CLEAR-LLM checklist in...
BACKGROUND: Prediction models for child maltreatment risk are increasingly used to support decisions in child protection, yet concerns remain about me...
With advances in autonomous vehicle technology and in-cabin occupant monitoring systems, prediction of motion sickness (MS) has emerged as a key chall...
BACKGROUND: Imaging guides the staging of urothelial carcinoma and thus plays a central role in treatment decisions. Current guidelines reflect the in...
BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various malignant neoplasms. However, its prognostic role ...