Veronica L Irvin, Molly L Kile, Christina Lucas-Woodruff, Curtis Cude, Lilly Anderson, Kara Baylog, Melbourne F Hovell, Soyoung Choun, Robert M Kaplan
An overview of the Be Well Home Health Navigator Program to reduce contaminants in well water: Design and methods
Contemporary clinical trials
artificial intelligence technologies one important technologies today developments artificial intelligence technologies widespread increased use artificial intelligence many areas field health also one areas artificial intelligence technologies widely used reason considered important healthcare professionals prepared artificial intelligence experience problems training study midwife nurse candidates future healthcare professionals discussed study aims examine effect artificial intelligence readiness artificial intelligence anxiety effect artificial intelligence characteristic variables artificial intelligence knowledge daily life occupational threat artificial intelligence trust medical artificial intelligence readiness artificial intelligence anxiety students study planned carried relational survey study quantitative research total 480 students consisting 240 nursing 240 midwifery students included study spss 260 amos 26 package programs used analyse data descriptive statistics frequency percentage mean standard deviation path analysis structural equation model used significant difference found medical artificial intelligence readiness p0082 artificial intelligence anxiety p0486 scores midwifery nursing students model relationship medical artificial intelligence readiness artificial intelligence anxiety good goodness fit artificial intelligence knowledge using artificial intelligence daily life predictors medical artificial intelligence readiness using artificial intelligence daily life occupational threat artificial intelligence trust predictors artificial intelligence anxiety midwifery nursing students ai anxiety ai readiness levels found moderate level students ai readiness affected ai anxiety