Latest AI and machine learning research in surveillance for healthcare professionals.
BACKGROUND: Estimating the post-mortem interval (PMI) is pivotal in forensic casework, yet traditional approaches are imprecise and context-dependent. Artificial intelligence and machine-learning (AI/ML) models aim to leverage imaging, biochemical and omic data, but their credibility depends on methodological rigor and transparent reporting. METHODS: We systematically reviewed human studies develo...
AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically generate nutrition and exercise recommendations. Generative AI personalizes diet and activity information, encouraging behavior change. The objective of this Viewpoint is to explore the potential medium-term consequences of AI integration in diet an...
Veterinary electronic health records are often stored as unstructured free text, and structuring this information into analyzable formats is essential...
The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional react...
Artificial intelligence (AI) has emerged as a transformative tool for improving the detection, prediction, and prevention of adverse drug reactions (A...
BACKGROUND: Standard echocardiography reports use complex terminology, limiting patient comprehension and exacerbating preconsultation anxiety. Large ...
BACKGROUND: Pharmacovigilance aims to protect patient safety by identifying and managing adverse events associated with pharmaceuticals. Determining t...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...
INTRODUCTION: Internationally, nursing students' awareness and familiarity with artificial intelligence (AI) remain a challenge as evidenced by the cu...
TOPIC: Artificial intelligence (AI) is increasingly applied to support decision-making in ophthalmology. This review evaluates the ability of AI to pr...
BACKGROUND: Large language models (LLMs) are increasingly embedded in conversational agents for cardiometabolic care. These systems could support self...
BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebral small vessel disease, yet the equivalent volume...
BackgroundThe comet assay is a sensitive and widely used technique for assessing DNA damage at the single-cell level. Despite its advantages, traditio...
Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, accounting for a major clinical impact due to high recurr...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
BACKGROUND: Chatbots have recently emerged as an alternative approach for delivering cancer risk assessment and genetic counseling. Understanding the ...
Insecticide resistance has become a serious and escalating threat to global agriculture, undermining food security, farmer livelihood, and environment...
Video anomaly detection plays a crucial role in video surveillance, which identifies suspicious intruders without human intervention. Moreover, the ra...
BACKGROUND/AIM: Traumatic dental injury (TDI) in the primary dentition represents a significant global public health problem. This study aimed to anal...