Clinical trial NCT06015178: Enhancing Medical Researchers' Self-learning With an Intelligent Language Model
Official title: A Superiority Randomized Controlled Trial of the Effect of a Novel Intelligent Language Model on the Self-learning Ability of Medical Researchers
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Medical Artificial Intelligence
Interdisciplinary Research
Self-Directed Learning
Keywords: medical artificial intelligence
Large Language Model
superiority randomized controlled trial
Self-Directed Learning
Lead sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University
Sponsor class: OTHER
First posted: 2023-08-29
Enrollment: 60
Sex: ALL
Minimum age (years): 20
Maximum age (years): 28
Standard ages: ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: OTHER

Brief summary: Solving medical scientific problems is a crucial driving force behind the advancement of medical disciplines. As the complexity of scientific questions increases, an increasing number of problems require interdisciplinary collaboration to be resolved. However, most medical researchers lack interdisciplinary background knowledge and require substantial time to systematically learn relevant knowledge and skills. Furthermore, the continuous emergence of new knowledge and skills emphasizes the importance of researchers' ability for autonomous learning in the medical field. Therefore, to promote the development of medical disciplines, there is an urgent need for an effective method to enhance researchers' self-directed learning abilities for conducting interdisciplinary research.

The next-generation artificial intelligence language models, exemplified by ChatGPT, hold great potential in assisting researchers to access knowledge and information from various domains. Whether researchers can leverage such AI tools to enhance their self-directed learning abilities for conducting interdisciplinary research remains to be further explored. Additionally, concerns have been raised regarding the potential degradation of cognitive abilities through their use, although valid evidence is currently lacking.

To investigate whether AI tools, represented by ChatGPT, can effectively assist medical researchers in conducting interdisciplinary research and whether their usage may negatively impact researchers' cognitive abilities, a randomized controlled trial is warranted. This trial aims to ascertain the potential benefits and risks associated with utilizing AI tools in the medical research domain.


Eligibility 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

Primary outcomes:
measure: completion rate
timeFrame: through study completion, an average of 9 months
Secondary outcomes:
measure: Feasibility of the research program
timeFrame: through study completion, an average of 9 months
Other outcomes:
Locations:
city: Guangzhou
country: China
facility: Zhongshan Ophthalmic Center, Sun Yat-sen University
state: Guangdong
Study officials:
References: