Latest AI and machine learning research in surveillance for healthcare professionals.
Scientific discovery seeks mechanisms that explain observations and predict beyond the measurements ...
Multimodal large language models (MLLMs) can now interpret a standard ten-second, twelve-lead electr...
Background: Identification of in-hospital cardiac arrest (IHCA) through manual chart abstraction is ...
Background: Cascade screening increasingly identifies carriers of pathogenic or likely pathogenic sa...
For 140 years, hearing science and otology have rested on a premise treated as a principle of human ...
Coccidioidomycosis (Valley fever) is a soilborne mycosis endemic to the US Southwest whose incidence...
Background. Automation is increasingly used to reduce the screening workload of evidence syntheses, ...
Infectious disease transmission models are governed by parameters informed by systematic review of e...
Providers of continuously produced, commercially valuable data -- sensor streams, telemetry, and oth...
Introduction Aging populations are placing increasing pressure on Emergency Medical Services (EMS) p...
Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supportin...
Malaria remains a significant global health burden, necessitating continuous research efforts to und...
Antimicrobial resistance is a public health challenge, driving the need for rapid, cost-effective di...
Background: Population level assessments of predictive artificial intelligence (AI) can conceal perf...
Automated maritime surveillance from satellite and aerial imagery requires large, precisely annotate...
Antiretroviral therapy (ART) stock-outs interrupt treatment, increase the risk of virologic failure ...
Systematic reviews, scoping reviews, mapping studies, and related evidence syntheses are increasingl...
Low-earth-orbit (LEO) satellites enable high-resolution, large-scale Earth observation for applicati...
Plant bioengineering has generated tens of thousands of genotype-to-phenotype relationships, but thi...
Background. Phthalates are hypothesised to act as metabolic disruptors, and machine learning applied...
Objective To develop and evaluate an automated large language model (LLM)-based framework for conduc...