AIDE was created to address a very practical need. During clinical training at hospitals, students often face limitations in terms of time and the number of cases. In many cases, they can only observe a portion of the examination and treatment process, unable to fully monitor everything from history taking, examination, diagnosis, to final treatment. 

According to Nguyen Tran Nhu Ngoc, a member of the AIDE project team, during their hospital internships, students only have time to observe a few steps of a patient's case; by the next day, the patient has either been treated or moved to a new case. Therefore, the team hopes to have a tool that helps students fully understand the clinical progression of a case and the doctor's treatment approach. Nguyen Tran Nhu Ngoc shared: "I noticed that Professor Thao (Associate Professor, Doctor Do Thi Thao - PV) has a large database of patient cases, so I had the idea to create a website to systematically and comprehensively store case data for quick retrieval. However, simply accessing the data would be a waste, so we incorporated a chatbot into her case studies to learn more proactively."

Based on that reality, a group of dental students, including Bui Thi Phuong Anh, Nguyen Tran Nhu Ngoc, Nguyen Thuy Vy, Nguyen Le Hai Nam, and Huynh Trong Nhan, began building the AIDE platform under the guidance of Assoc. Prof. Dr. Do Thi Thao, Deputy Head of the Faculty of Dentistry. AIDE applies the Large Language Model (LLM) artificial intelligence model to simulate interaction between students and virtual patients. Learners can ask questions and receive feedback based on clinical logic, thereby practicing skills in taking patient histories and diagnostic thinking as if working with real patients. Case data was built from 22 real patient records provided by Assoc. Prof. Dr. Do Thi Thao, ensuring accuracy and suitability for training requirements.

Initially, the team used a commercial chatbot to simulate patient cases, but the system frequently encountered errors: it failed to remember data, gave mixed answers, or had a limited number of questions; maintenance costs were also quite high. The team decided to collaborate with programmers to build their own website. Members worked and met weekly to fix bugs, update content, and refine the interface. After many months, AIDE's official website ran smoothly, allowing for consistent storage of patient case data and interactive simulation. The project received attention from the university, the faculty, and especially financial support from Assoc. Prof. Dr. Do Thi Thao.

When tested with 122 fifth-year dental students, AIDE demonstrated many advantages. Learners could practice an unlimited number of times, self-assess their abilities through instant feedback and system-suggested scores. Step-by-step simulation helped students understand the process of taking patient histories, identify their shortcomings, and make timely adjustments. According to Assoc. Prof. Dr. Do Thi Thao, the software not only hones patient history taking and diagnostic skills but also encourages student initiative, making the training process more flexible and relevant to practice. Nguyen Tran Nhu Ngoc shared: “In the future, the team will maintain and develop the website effectively, hoping to expand it to other departments such as Medicine, Nursing, Public Health, and Pharmacy, eventually applying it to the entire university.”

Projects at “CTUMP Startup 2025”, especially AIDE, were highly praised for their practicality and scalability. Beyond supporting teaching, learning, and research, AIDE has the potential to develop into a business product, deployable within the university and expandable domestically and internationally thanks to its Vietnamese-English bilingual format. Assoc. Prof. Dr. Do Thi Thao stated: “The team's idea not only serves education, application in teaching and the community, but also aims to generate long-term profits from this product. AIDE is not just a startup product, but also an illustrative model of the creativity and proactive spirit of CTUMP students in applying technology to medical training.” 

B. KIEN