Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...

Background While C-section (CS) deliveries exhibit significant socioeconomic inequalities in low- and middle-income countries (LMICs), the extent and underlying drivers of these inequalities remain ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...