Transferable Migration Framework Derived from a Large-scale Tertiary Hospital EHR System. [PDF]
Yu H, Lee K, Lee S, Kim Y.
europepmc +1 more source
The problem with abortion deserts: Reframing deserts for feminist solidarity
Abstract With the rise of the far right across the world, feminist scholars and activists have been drawn to the language of “abortion deserts” to describe the decimation of reproductive healthcare services. In this paper we argue that while “abortion deserts” is a rhetorically powerful category, it is too often used uncritically in ways that overlook ...
Chiara Chiavaroli, Cordelia Freeman
wiley +1 more source
Uncompensated Hospitalizations in Children's Hospitals.
Gay JC, Synhorst DC, Grills N, Hall M.
europepmc +1 more source
Explainable multimodal AI and neuro-symbolic clinical decision support system for chronic eye disease management: a digital health implementation study. [PDF]
Wang MH +16 more
europepmc +1 more source
Potential for conflict between urban coyotes and people experiencing unsheltered homelessness
Across North America, both unsheltered homelessness and human–coyote (Canis latrans) conflict are increasing, but the relationship between these phenomena has not been thoroughly explored. We synthesize literature‐based evidence with anecdotal observations that occurred during a 15‐year study of coyotes in Edmonton, Canada, to describe three likely ...
Sage Raymond +2 more
wiley +1 more source
In this study, plant‐derived carbon dots (CDs) were prepared using natural plant leaves as raw materials through solvothermal method. These CDs retain the porphyrin structure from chlorophyll and can simultaneously generate I and II types of reactive oxygen species. A 660 nm laser irradiation for only 1 min can achieve efficient photodynamic anti‐tumor
Renjing Chen +13 more
wiley +1 more source
Real-time automated billing for tobacco treatment: performance evaluation of the CigStopper machine learning framework. [PDF]
Baughman DJ +8 more
europepmc +1 more source
Climate Risks and the Risk Premia of AI Stocks: Some Forecasting Experiments
ABSTRACT This study examines whether physical and transition climate‐risk measures predict the risk premia of AI‐related stocks, and whether incorporating these risks improves forecast performance relative to benchmark models. The findings suggest that global transition climate shocks lower the premia of AI stocks, while US climate policy increases ...
Afees A. Salisu, Abeeb O. Olaniran
wiley +1 more source
Ambient AI-assited clinical documentation in surgical outpatient care: a preliminary study of usability, workflow, and patient experience. [PDF]
Harvey CJ +4 more
europepmc +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source

