Improving self-learning for medical researchers using an intelligent language model
A Superiority Randomized Controlled Trial of the Effect of a Novel Intelligent Language Model on the Self-learning Ability of Medical Researchers
This study is testing if using an intelligent language model like ChatGPT can help junior ophthalmologists learn new skills and knowledge more effectively for their research.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 60 (estimated) |
| Ages | 20 Years to 28 Years |
| Sex | All |
| Sponsor | Zhongshan Ophthalmic Center, Sun Yat-sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Trial ID | NCT06015178 on ClinicalTrials.gov |
What this trial studies
This study aims to enhance the self-directed learning abilities of junior ophthalmologists by utilizing an intelligent language model, such as ChatGPT. The intervention involves a randomized controlled trial where participants will engage with the language model to access interdisciplinary knowledge relevant to their field. The goal is to determine whether this approach can effectively support researchers in acquiring new skills and knowledge necessary for conducting interdisciplinary research in medical science. The study focuses on addressing the challenges faced by medical researchers in adapting to the rapidly evolving landscape of medical knowledge.
Who should consider this trial
Good fit: Ideal candidates for this study are junior ophthalmologists aged 20-28 with 1-3 years of clinical experience and no prior involvement in interdisciplinary research.
Not a fit: Patients with reading difficulties or disabilities, as well as those unwilling to participate, may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve the ability of medical researchers to learn autonomously and collaborate across disciplines, ultimately advancing medical research.
How similar studies have performed: While the use of intelligent language models in medical education is a novel approach, similar studies in other fields have shown promising results in enhancing learning outcomes.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Junior ophthalmologist with 1-3 years of clinical experience * 20-28 years old, regardless of gender * No prior experience in interdisciplinary research involving digital medicine * Self-reported a minimum of 20 hours of participation in this study during the trial period * Agree to participate in this study and sign informed consent Exclusion Criteria: * Individuals with reading difficulties or reading disabilities * Reluctance to participate in this study
Where this trial is running
Guangzhou, Guangdong
- Zhongshan Ophthalmic Center, Sun Yat-sen University — Guangzhou, Guangdong, China (Recruiting)
Study contacts
- Study coordinator: wenben chen, Doctor
- Email: weberchan@foxmail.com
- Phone: +8618819472798
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.