Study on the Medical Education Capability of the EyeTeacher Artificial Intelligence Platform
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: EyeTeacher.
- Who it may be relevant to
- Registry conditions: Medical Education. Basic parameters: 21 years — 40 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Australia, China, Ghana, India, Malaysia +2
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
With the rise of generative artificial intelligence and large language models, medical education is undergoing a significant transformation. Numerous studies have highlighted the limitations of traditional educational knowledge acquisition and the potential impact of artificial intelligence on medical education, resident training, and continuing education for clinical practitioners. However, there is a lack of real-world experiments on the effectiveness of AI-integrated education. Artificial intelligence can provide extensive educational resources and tools that are not limited by geographical location or language, thereby lowering the barrier to accessing high-quality medical education and promoting educational equity. Nevertheless, the performance of AI models trained by different medical institutions or healthcare systems may vary. To offer a more universal, accessible, high-quality, and interconnected educational journey. We have developed a virtual ophthalmology teacher, which developed based on foundational model and large language models. This model, named EyeTeacher provide comprehensive theoretical knowledge and clinical skills enhancement for untrained medical students. To verify the effectiveness of our EyeTeacher across different national ophthalmology education systems and languages, we plan to implement a randomized controlled trial. This trial will assess the clinical capabilities of all participants and explore the advantages and disadvantages of the system compared to traditional teaching methods.
Interventions
- Other EyeTeacher
Participants randomized to the intervention group will receive access to the EyeTeacher system, along with their username, password, and a user manual, one week before the start of the course. They will follow instructions on the website and complete a quiz before and after each course. After completing the EyeTeacher curriculum, they will take the first examination (Examination 1) and complete a set of questionnaires. A classroom will be provided for study purposes, but no restrictions will be
Primary outcome measures
- Grade of ophthalmology examination [Time frame: 1 day after complete lectures]
Secondary outcome measures (2)
- Time of studying ophthalmology [Time frame: 1 day after complete lectures]
- Feedback of teaching from students [Time frame: 1 day after complete lectures]
Eligibility criteria
Inclusion criteria
- Clinical medical students who have not taken ophthalmology courses
- Age 21-40
- Gender not restricted
- Sign the informed consent form
Exclusion criteria
- Refusal of the research protocol.
- Participants unwilling or unable to understand and complete the questionnaire.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Other
Study locations
Australia · 1 center
- University of Melbourne — Melbourne
China · 1 center
- Peking Union Medical College Hospital — Beijing
Ghana · 1 center
- University of Ghana — Accra
India · 1 center
- Sankara Nethralaya — Chennai
Malaysia · 1 center
- University of Malaya — Kuala Lumpur
Singapore · 1 center
- Duke-NUS medical school — Singapore
United Kingdom · 1 center
- Moorfields Eye Hospital — London
Publications
- He B, Kwan AC, Cho JH, Yuan N, Pollick C, Shiota T, Ebinger J, Bello NA, Wei J, Josan K, Duffy G, Jujjavarapu M, Siegel R, Cheng S, Zou JY, Ouyang D. Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023 Apr;616(7957):520-524. doi: 10.1038/s41586-023-05947-3. Epub 2023 Apr 5. PMID 37020027
- Benitez TM, Xu Y, Boudreau JD, Kow AWC, Bello F, Van Phuoc L, Wang X, Sun X, Leung GK, Lan Y, Wang Y, Cheng D, Tham YC, Wong TY, Chung KC. Harnessing the potential of large language models in medical education: promise and pitfalls. J Am Med Inform Assoc. 2024 Feb 16;31(3):776-783. doi: 10.1093/jamia/ocad252. PMID 38269644
Identifiers
NCT: NCT06759012 · THU01-20240100