This program is designed to train early-career researchers and students, focusing on cutting-edge research in carotid plaque artificial intelligence. Its aim is to equip participants with both theoretical knowledge and practical skills, preparing them for applications in carotid ultrasound artificial intelligence(AI). The target group includes graduate students and researchers who are passionate about cardiovascular diseases and the application of artificial intelligence in ultrasound.

· Weekly mentorship meetings with Prof. MOU and a multidisciplinary research team

· Real-time involvement in clinical trials and translational research projects related to cardiovascular diseases

· Development of practical inquiry skills that integrate medicine and engineering using the latest artificial intelligence research methods

· Understand the principles of artificial intelligence and its applications in clinical medicine

· Master the analytical methods of artificial intelligence to gain experience in clinical trial design and analysis

· Cultivate skills in scientific writing and grant application

8 weeks

The focus of artificial intelligence in cardiovascular diseases includes:

· Entry points for clinical problems

· Standardized procedures for acquiring ultrasound images

· Exploration of machine learning and deep learning applications

Projects:

1. AI analysis of carotid plaques

2. AI analysis of patients with hypertrophic phenotypes

3. AI diagnosis of cardiac tumors

Undergraduate students:

Candidates should be enrolled in a bachelor's degree program in biology, biochemistry, or a related field. Prior coursework in ultrasound is preferred. Basic proficiency in English is required.

Graduate students:

Candidates must be enrolled in a Master's, M.D. program in radiology. Familiarity with research methodologies and ultrasound techniques is required. Fluency in English is mandatory.

Doctors:

Candidates must hold an M.D. degree with clinical experience, preferably in radiology or ultrasound medicine. Research experience is not mandatory but is a strong advantage. Applicants must be fluent in English

Daily Training Schedule:

Monday:

9:00 AM – 12:00 PM: Lecture on Basics of Ultrasound Medicine

2:00 PM – 4:00 PM: Ultrasound Examination Practice

Tuesday:

9:00 AM – 12:00 PM: Explanation of Key Points in Ultrasound Diagnosis

2:00 PM – 4:00 PM: Discussion of Recent Papers on Ultrasound and Artificial Intelligence

Wednesday:

9:00 AM – 11:00 AM: Ultrasound Data Analysis

2:30 PM – 4:30 PM: One-on-One Mentorship Meetings

Thursday:

9:00 AM – 12:00 PM: Explanation of Key Points in Ultrasound Diagnosis

2:00 PM – 4:00 PM:  Ultrasound Data Analysis

Friday:

9:00 AM – 12:00 PM: Study relevant techniques in the ultrasound laboratory.

2:00 PM – 4:00 PM:  interactive Q&A, or multimedia presentations

Program Training Schedule:

Introduction & Welcome
Time: 1 day
Activities:

· Workshop overview and objectives 

· Introduction of facilitators/tutors

Foundational Session
Time: 1 week
Topics:

· Key concepts and theories related to ultrasound and artificial intelligence

· Literature review or background studies
Format: Lecture, interactive Q&A, or multimedia presentations

Practical/Hands-On Session
Time: 3 weeks
Activities:

· Demonstrations of research tools or methods (e.g., ultrasound diagnostic equipment, software)

· Practice exercises where participants replicate techniques

· Guided small-group activities for solving cases or analyzing data

Focused Research Topics
Time: 3 weeks
Topics:

· Ultrasound and artificial intelligence (e.g., recent trends, challenges, or advanced techniques)
Format: Interactive lectures, panel discussions, or guest speakers

Collaborative Session
Time: 1 week
Activities:

· Group projects or brainstorming sessions

· Problem-solving exercises or simulations

Wrap-Up & Reflection
Time: 2 days
Activities:

· Participant presentations or discussion of key takeaways

· Feedback session

Assessment Methods:

· Submission of a final research report summarizing work and findings

· Practical assessments during performing ultrasound

· Certificates provided upon successful completion of the program

Feedback:

Participants can submit anonymous feedback via an online form at the end of the program. One-on-one feedback sessions will also be scheduled midway through the program.

The program is free of charge.