Related Experiment Videos
Artificial intelligence perceptions and experiences among first and second year medical students.
Elisheva Knopf1, Genevieve M H Corrada1, George R Luck1
1Charles E. Schmidt College of Medicine at Florida Atlantic University, Boca Raton, FL, USA.
Summary
First-year medical students show higher artificial intelligence (AI) use and familiarity than second-year students. Both groups desire ethical AI training, highlighting AI
Area of Science:
- Medical Education Technology
- Artificial Intelligence in Healthcare
- Student Attitudes toward AI
Background:
- Artificial intelligence (AI) tools, including large language models, are becoming more accessible to medical students.
- Early student perceptions of AI may influence its integration into medical learning and professional development.
- This study assesses incoming medical students' initial familiarity, usage, and attitudes toward AI.
Purpose of the Study:
- To capture and analyze the AI familiarity, prior use, and perceptions of first- and second-year medical students.
- To provide a baseline understanding of student attitudes toward AI at the start of their medical education.
- To inform curriculum development regarding AI in medical training.
Main Methods:
- A cross-sectional survey was administered to 157 first- and second-year medical students.
- Data collected included demographics, AI familiarity, prior AI use, and perceptions via multiple-choice and Likert scale items.
- Statistical analyses (Chi-squared, Fisher's exact tests) were used to compare responses between student cohorts.
Main Results:
- Most students reported moderate AI familiarity, with ChatGPT being the most recognized and used tool.
- First-year students demonstrated significantly higher prior AI use, use during applications, and planned use in medical school compared to second-year students (p < 0.001).
- Students expressed optimism but raised concerns regarding AI accuracy, clinical thinking impact, and ethics, with strong support for ethical AI training and discomfort with AI-mediated assessment.
Conclusions:
- Pre-clinical medical students foresee a significant role for AI in their education and advocate for structured ethical training.
- Findings underscore the need for proactive curriculum planning to integrate AI responsibly into medical education.
- Addressing student concerns about accuracy, ethics, and assessment is crucial for effective AI adoption.
Related Concept Videos
01:09First Impression
First impressions play a crucial role in social perception, shaping how individuals assess others in professional, academic, and interpersonal contexts. Psychological research highlights the significance of cognitive biases, such as the primacy and recency effects, which influence how people interpret and recall information.The Primacy Effect and Cognitive AnchoringThe primacy effect describes the tendency for initial information to impact judgment disproportionately. When individuals encounter...
01:29Introducing Social Perception
Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...