Presented By: Miriam Borvick, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas
Co-Authors: Kencie Ely, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas
Gemma Lagasca, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas
Kaitlyn Novotny, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas
Peyton Sakelaris, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas
Edward Simanton, Kirk Kerkorian School of Medicine at University of Nevada, Las Vegas

Purpose
Medical education relies on a variety of resources to develop students' logical thinking and general knowledge. The vast amount of information students must obtain requires multiple resources to cover every topic in each course. The cost of these resources is often limiting and forces students to look elsewhere for cheaper, accurate, and time-efficient information. The latest resource that students are turning to in order to satisfy this need are recently developed AI resources. These resources can advance students' medical knowledge, addressing their individual needs and goals. The aim of this study is to assess the frequency of Artificial Intelligence (AI) study tool utilization among medical school students and investigate its association with academic performance on preclinical exams.

Methods 
A survey will be distributed to assess AI usage amongst two classes of medical students at the Kirk Kerkorian School of Medicine. The survey will inquire about students' usage of both AI study tools and traditional, non-AI study tools. This study intends to gather information on which resources students use, how they utilize these resources, and to what extent they use AI tools to prepare for exams. Additionally, perception of preparedness for NBME exams as well as exam performances by medical students will be studied to determine what relationship, if any, exists between AI study tool usage and exam performance.

Results 
The anticipated finding is that there will be a positive correlation between AI study tool usage, exam performance, and perception of NBME preparedness among medical students.

Conclusions 
If medical school performance is positively correlated with AI usage, then students would have an additional resource available to them during their pre-clinical phase. With the added benefit of AI being low to no cost, medical education would be efficient and more affordable for all students.