Course Overview

In the “MedTech AI” program, students will embark on a transformative journey exploring the cutting-edge intersection of medical technology and artificial intelligence. Throughout this three-week course, participants will delve deep into the fundamentals of AI algorithms, understanding how they can be harnessed to analyze vast datasets, make accurate predictions, and tailor medical treatments to individual patients. Drawing from real-world medical scenarios, students will learn how AI-driven tools and devices are revolutionizing areas such as diagnostics, treatment planning, and patient care, showcasing the future of healthcare.

Hands-on modules will allow students to engage with simulated AI-driven medical tools, design basic healthcare algorithms, and even conceptualize their own solutions for pressing medical challenges. In addition to technical skills, students will engage in ethical discussions surrounding the use of AI in healthcare, considering both the immense potential and the inherent challenges of these technologies. By the end of this immersive program, participants will have gained a foundational understanding of the role of AI in modern healthcare and will be well-equipped to consider careers or further studies in this dynamic, impactful intersection of medicine and technology.

All students who successfully complete the course will receive a Certificate of Completion and have the opportunity to request a Syracuse University noncredit transcript.

Learning Objectives

  • Foundational Understanding: Grasp the core principles of artificial intelligence and its applications within the realm of medical technology.
  • Algorithmic Proficiency: Acquire the skills to design and implement basic healthcare algorithms, understanding their potential to drive personalized treatments and diagnoses.
  • Ethical Considerations: Engage critically with the ethical implications of AI in healthcare, weighing the benefits of advanced technology against potential challenges and risks.
  • Real-world Applications: Analyze and evaluate current AI-driven medical tools and devices, understanding their mechanisms, advantages, and limitations.
  • Innovative Thinking: Cultivate the ability to conceptualize and prototype innovative solutions to pressing medical challenges using AI technologies.
  • Interdisciplinary Collaboration: Foster collaborative skills by working in diverse teams, blending insights from both medical and technological fields to create holistic solutions.
  • Future Trends Awareness: Gain insights into the emerging trends and future trajectories of AI in medical technology, preparing for potential academic and career opportunities in the field.

Course Information

Course Prefix and Number: SCN 176

Format: Online

Eligibility: Students must be of rising high school sophomore, junior, or senior status – or a 2024 high school graduate. 

Credit: Noncredit

Grading: Pass/Fail

Cost: $1,995
Program rates are subject to change and will be approved by the board of trustees. Discounts and scholarships are also available.

Program Information

Summer College – Online: Explore college life before stepping foot on campus! High school students can enroll in a college-level course, pursue their academic interests, and meet likeminded students in daily virtual events and activities.

Course Dates and Details

ProgramCourse DatesSynchronous Class Time (Eastern Time)Credit/NoncreditStatus
Summer College – Online3-Week Session I: Monday, July 8 – Thursday, July 25, 2024MTWTh;
7 – 9 p.m.

Course Requirements

Eligibility Requirements

Applicants should have completed at least one introductory course in either biology, programming, or a related STEM field. Basic familiarity with computer operations and the internet, given the online nature of the course.

Technology Requirements

  • A modern laptop or desktop computer
  • A stable internet connection
  • A working webcam and microphone
  • Open-source software will primarily be used

Typical Day

Tentative Schedule

Throughout the course, the structure might vary slightly based on the topic or the need to accommodate guest speakers, extended activities, or deeper dives into particularly complex subjects. However, the blend of lecture, discussion, hands-on activities, and reflection ensures students stay engaged and get the most out of their 2-hour daily sessions.

When class is over, and on weekends, students can look forward to various Summer College virtual activities to meet and connect with other students across the world. Check out our Virtual Campus Experience page for more information!

Faculty Bios

Douglas Yung – Associate Teaching Professor, Bioengineering, College of Engineering & Computer Science

Douglas Yung is an Associate Teaching Professor in the Department of Biomedical and Chemical Engineering at Syracuse University and serves as the Director for the Bioengineering undergraduate program. He completed his B.S. in electrical engineering and mathematics at UCLA in 2003 and later pursued a Ph.D. in bioengineering from Caltech in 2008. Following this, he spent time at the Jet Propulsion Laboratory in California as a NASA Postdoctoral Fellow, working on sensor development, microfluidics, and bacterial spore viability. In 2009, he joined the Department of Electronic Engineering at the Chinese University of Hong Kong as an Assistant Professor.

Prof. Yung is not just a distinguished academic but a visionary biomedical engineer. He is known for fostering expansive collaborations that bridge the gaps between academia, industry, hospitals, and communities on a grand scale. His intrigue lies at the intersection of microbes and engineering tools, particularly on a micro- and nano-scale. He is actively pioneering techniques to evaluate the resilience of superbugs and derive energy from extremophiles, merging electrochemical and optical techniques with MEMS devices. Over the past 12 years, he has championed more than 20 STEM outreach programs, impacting over 500 K-12 students. His contributions to education have been lauded with awards, including the College Educator of the Year by the Technology Alliance of Central New York (TACNY). A staunch advocate for hybrid teaching, Prof. Yung promotes a holistic learning environment rich in hands-on projects, experiential activities, and peer collaboration, a marked shift from conventional pedagogies.