Latest AI and machine learning research in surveillance for healthcare professionals.
The proliferation of hospital surveillance data in China has not been matched by publicly available, machine-readable datasets suitable for artificial intelligence (AI) research. We describe the design, implementation, and validation of a reproducible Python pipeline that transforms 39 months of raw, Chinese-language healthcare-associated infection (HAI) surveillance records from a 1,100-bed distr...
BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation increase mortality and organ damage. Artificial intelligence (AI) may support earlier recognition, faster imaging interpretation, and more efficient multidisciplinary communication. This narrative review evaluates whether AI could shorten diagnostic a...
Artificial intelligence (AI) is increasingly entering male infertility care through semen image analysis, sperm-selection support, prediction of sperm...
Smart wearable biosensors represent a significant paradigm shift from one-time sample analysis to real-time biochemical monitoring at the body interfa...
BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...
BACKGROUND: Escherichia coli poses a global health threat from increasing β-lactam resistance. This study uses genomic and One-Health data to map resi...
BACKGROUND: Catheter-associated urinary tract infection (CAUTI) surveillance is critical for patient safety. Many healthcare systems use electronic al...
OBJECTIVES: Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, ...
The Reporting and Data Systems (RADS) framework has become a key driver of structured reporting and standardization in radiology. This review summariz...
BACKGROUND: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective cl...
Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging and blood pressure remains unclear. This epigenome...
Many research questions-particularly those in environmental health-do not involve binary exposures. In environmental epidemiology, this includes multi...
Influenza A viruses (IAVs) remain a persistent global threat because of rapid antigenic change, frequent genetic reassortment, and cross-species trans...
Machine learning (ML) and deep learning (DL) models are increasingly being explored for individualized epilepsy risk prediction after a first unpr...
Tick-borne encephalitis (TBE) remains a severe public health threat in affected areas with shifting geographic distribution linked to environmental ch...
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of liver disease that is growing in prevalence....
BACKGROUND: Mpox epidemiology has expanded from endemic zoonotic spillover to sustained human-to-human transmission. While behavioral risk factors hav...
BACKGROUND: Large language model (LLM)-based conversational agents are increasingly used in health care, yet their capacity to support genuine multitu...
The use of digital health technologies is advancing the provision of community health services, especially in low- and middle-income countries. Howeve...
Most respiratory pathogens exhibit distinct seasonal and periodic outbreak patterns driven by climatic factors. However, predictive models that jointl...