AI Chat GPT technologies in health sciences: A study with mathematical statistic correlation and probabilistic mission induction

Abstract

The purpose is to study the effect and influence of Chat GPT application in education technology on health sciences post graduates (PGs) task-initiation, applying the “cross-sectional” model through scholars and PG`s. The study observes the connections and relationships, i.e., correlations among the frequency-of Chat GPT interface plus pace of starting Academic-educational errands, using a normalized/systematized uniform (homogenous) scaling to errand induction next to lately built scaling to measure Chat GPT use. Using probability—statistical models bi variate correlation plus analysis-of-variance (ANOVA), such that it will detect patterns (signatures) of errand start amongst `non-users` and `end-users` of diverse versions of Chat GPT. Our findings show that the big depressing/off-putting correlation (=-0.511, p<0.01 statistically not significant) among Chat GPT use plus chore-initiation, signaling that fueled application of Chat GPT might be linked through of-late/delayed issue-start. Remarkably, non-native-users formed the top-bias to induce brief induction (M = 3.215) than Chat GPT end-users. Likewise, variants within chore start activities were studied amongst the end-users-of two versions-of Chat GPT, through the V4version-users showing new helpful errand induction results. Our results feature the nuanced-effect of Chat GPT over Academic-educationalists’ deeds, implying that whilst Chat GPT might function as valued Academic-utility-tools, its use might impact accepted-conventional errand induction behavioral-conducts. These intuitions stress the requirement for the weighed method for making amendments and to incorporate artificial intelligence (AI) utility-tools within the Academic-educational locational-settings, as their latent to vary PGs and research scholars errand behaviors and conducts plus self-control.