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Medical Student Experiences With ChatGPT: National Cross-Sectional Study
Alan Yuesheng Xu1, Skye Speakman1, Vincent Salvatore Piranio1
1College of Medicine, University of Florida, Gainesville, FL, United States.
Medical students widely use ChatGPT for academic and clinical tasks, but concerns about reliability and ethics necessitate structured AI education. This study highlights the need for responsible AI integration in medical training.
Area of Science:
- Medical Education
- Artificial Intelligence in Medicine
- Health Informatics
Background:
- Artificial intelligence (AI) chatbots like ChatGPT are increasingly integrated into medical education.
- These tools offer benefits but also present challenges requiring curriculum adaptation.
Purpose of the Study:
- To examine medical students' perceptions and usage patterns of ChatGPT.
- To assess the impact of ChatGPT on academic support and clinical tasks.
- To identify concerns regarding reliability and academic integrity in AI tool usage.
Main Methods:
- A cross-sectional online survey was distributed to medical students across accredited US medical schools.
- Data collection occurred between August 25 and December 10, 2024.
- 177 participants completed the survey, reporting on ChatGPT use frequency, perceived usefulness, and habits.
Main Results:
- 98.9% of students had heard of ChatGPT, with 88.7% using it for understanding concepts, exam prep, and study materials.
- Students utilized ChatGPT for academic assignments (46.5%) and clinically for differential diagnoses and clinical note generation (21.0%).
- A majority (73.9%) felt ChatGPT improved their perception of AI in medicine, and 86.6% believed it would make them more effective physicians. Higher AI understanding correlated with more conscientious use habits.
Conclusions:
- ChatGPT is prevalent among medical students for both academic and clinical applications.
- Concerns regarding information verification, AI literacy, patient confidentiality, and ethical use are significant.
- Structured AI education is crucial for medical students to effectively leverage AI tools while mitigating risks.
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