To foster an innovative ecosystem for the deep integration of AI and medical education, and to enhance the digital literacy of both medical students and educators, the Digital Intelligence International Development Education Alliance (DI-IDEA), the PKUHSC-Chaoxing Joint Laboratory for Digital and Smart Medical Education, and Chaoxing Group have jointly launched the AI for Medicine track of the Global Digital Intelligence Education Innovation Competition.

This track aims to establish a high-level, open platform for the exchange and showcase of intelligent agents in medical education, promote the digital transformation of medical education, support the cultivation of innovative and practice-oriented medical talent, advance the development of smart medical education systems, and strengthen international exchange and collaboration.

Submissions will be evaluated based on agent development statements, demonstration videos, online presentations, and on-site defenses. This track accepts submissions in both Chinese and English. The China Division will use Chinese as the primary working language, while the International Division will use English. The track is divided into the following seven competition groups. Participants may choose one category:

Agents for Medical Teaching and Learning

These agents focus on intelligent support across the entire teaching and learning process, such as intelligent course Q&A systems, medical knowledge graph learning systems, and teaching effectiveness evaluation. They are applicable to routine teaching, learning, and assessment scenarios.

Agents for Clinical Skills Training

These agents are dedicated to the simulation and training of clinical skills, such as intelligent case analysis and clinical decision support. They emphasize interactive and repeatable training environments.

Agents for Medical Education Administration

These agents are designed for administrative functions such as academic affairs management, student management, and instructional resource scheduling, with typical examples including academic affairs and student management systems. They focus on process automation, intelligent decision-making, and improved efficiency in educational governance.

Agents for Medical Research Support

These agents contribute to the medical research process, including intelligent literature review, intelligent experimental data analysis, and research project management. They aim to enhance research efficiency and strengthen data-driven research capabilities.

Course-Specific Agents

These agents are designed for a particular course and are deeply integrated with its teaching objectives, content, and assessment methods. Examples include an epidemiology course agent or the AI agent for general clinical medicine education. Such agents demonstrate the deep integration of course-specific knowledge and instructional strategies.

Agents for Medical Science Popularization and Health Services

These agents provide the general public or patients with medical literacy, affordable services, and guidance on diagnosis and treatment. Examples include the health Q&A agent, disease prevention guidance agent, triage assistant, public-benefit service assistant, and medication guidance assistant. These agents emphasize public value and accessibility of healthcare services.

Other Innovative Agents

These cover AI-powered medical agents that do not fall into the groups above but exhibit clear originality. We encourage interdisciplinary integration, the exploration of frontier technologies, and distinctive designs that address specific pain points.

China Division (including Hong Kong, Macao, and Taiwan): Full-time faculty members and medical professionals from higher education institutions offering medical programs, including affiliated hospitals, are eligible to participate either individually or in teams. Current students, including those enrolled in higher vocational schools, junior colleges, undergraduate and graduate programs, may participate as team members.

International Division: Full-time faculty members and current students from overseas medical schools are eligible to participate in accordance with the rules of the China Division. Their submissions will be incorporated into DI-IDEA's global repository.

Each team may consist of no more than four members and shall include at least one faculty member. Each individual/team may submit only one project.

Participants in the International Division may submit materials in either Chinese or English. For videos and presentation materials, bilingual Chinese-English subtitles or summaries are encouraged to facilitate cross-linguistic review by the judging panel.

1. Application Form

Participants should submit their materials through the track's official website, where the application form template is available. In principle, applications may not be revised once submitted.

2. Agent Development Statement

The statement should be grounded in practical experience and reflective insights from medical education, and demonstrate the agent's innovative approaches, procedures, and impact on medical education. The statement should focus on real-world problems in medical education and provide a systematic account of how AI has been deeply integrated into teaching and learning to transform pedagogical concepts, reshape instructional processes, restructure learning models, and redesign assessment systems. It should also illustrate how AI enhances student learning and development, supported by concrete evidence of its impact on students' expertise, innovation capability, digital literacy, and ethical awareness, thereby establishing an "AI+" teaching innovation model worthy of wider dissemination and adoption. The document should not exceed 3,000 characters, and the file size should be no larger than 50 MB. For the International Division, submissions should be in English and may not exceed 2,000 words. A Chinese version may also be provided where available; if submitted, it will serve as the primary basis for evaluation.

3. Agent Demonstration Video and Supporting Materials

The video should present the full process of developing the educational AI agent and applying it to solve specific problems. It should be 6 to 10 minutes long, in MP4 format, no larger than 1,200 MB, and with a resolution of at least 720p. The footage should be clear and stable, and the audio should be intelligible. For the International Division, the video should be in English. Chinese subtitles are recommended to facilitate reviewers' understanding of the content.

Supporting materials should include: a publicly accessible test account; a clear identification of the agent's original creator(s), such as the development team or university; and proof of intellectual property rights, such as the software copyright registration certificate or patent certificate, or of the R&D process, including the technical roadmap and design documents.

The original versions of the proof must be reviewed and officially stamped by the academic affairs office of the relevant university or hospital, such as the Office of Academic Affairs or the Center for Faculty Development. Redacted versions with personal information removed do not require an official stamp. All of the above materials must be uploaded to the track management system and will be used separately for administrative review and expert evaluation.

(I) Stage One

1. Preliminary Round (Online Review)

During the online review stage, participating teachers should upload the relevant materials to the official website of the track within the specified timeframe. With the help of AI tools, an expert panel will conduct an online review of the materials and select the entries to advance to the semi-final round. The list of shortlisted participants for the online presentation will be announced in early June 2026.

2. Semi-final Round (Online Presentation)

Participating teachers should submit their presentation decks and, in accordance with the Organizing Committee's requirements, deliver a 10-minute online presentation followed by a 5-minute Q&A session with the judges. Silver and Bronze Awards will be determined at this stage, and the expert panel's list of Gold Award nominees will be announced in August 2026.

(II) Stage Two

1. Final Round (On-site Defense)

Candidates nominated by the expert panel for the Gold Award will be invited to compete in the final round by demonstrating the core highlights of their agents, showcasing their ability to solve real-world problems, and answering questions from the judges.

(III) Scoring Method

Participating teachers/teams that have completed the two stages outlined above will be considered to have finished the Competition. For Stage One, online review and presentation each contribute 50% to the score. The final Stage One score is the sum of these two components. The scoring criteria for Stage Two will be announced separately.

No registration or participation fee will be charged for this track. The submission of materials for the preliminary round will count as registration. The track consists of two stages.

Stage One (April-late June 2026): Participating teachers need to submit their registration information and supporting materials through the official website of the track (http://MeedTAC.mh.chaoxing.com). The deadline for registration and submission is 15:00 on May 15, 2026. The online competition is scheduled to take place in late June 2026.

Stage Two (October 2026): Candidates for the Gold Award, nominated by experts from each track, will participate in an on-site defense, during which the winners of the Gold Award will be determined.

Individual/Team awards: Gold Award candidates are nominated by experts. The Silver, Bronze, and Merit Awards are established for each group. The combined number of Gold and Silver Award winners shall not exceed 15% of the teams advancing to the semi-final round, while Bronze Award winners shall not exceed 35% of the same.The Gold Award includes a prize of RMB 30,000 and a certificate; the Silver Award offers RMB 10,000 and a certificate; the Bronze Award provides RMB 5,000 and a certificate; and the Merit Award includes a certificate. Each winner will receive only the highest level of award attained and the corresponding prize money.

Outstanding Organization Award: This award will be presented to organizations that nominate teams that later achieve outstanding results.

Recognition of award-winning entries: Following evaluation and selection, the award-winning entries will be featured on the DI-IDEA platform.

(I) Individuals/Teams with a history of academic misconduct, violations of professional ethics, unlawful or irregular behavior, or disciplinary offenses related to political awareness, education, research, or everyday life are not eligible to participate.

(II) Participating individuals/teams should ensure the originality of their submissions and are prohibited from plagiarizing or appropriating the works of others. Any resulting intellectual property disputes or infringements will be the sole responsibility of the participants.

(III) The submitted materials and on-site presentations must not contain any information that could reveal the identity of the participating individuals/teams, including their own names or those of their university, school, or department.

(IV) The Organizing Committee of the track reserves the right to final interpretation of these rules.