AI Summer School for Medical Imaging Informatics
AI Summer School
Medical Imaging Informatics
University of Pittsburgh
Pitt AI Summer School organized by the Pitt HexAI Research Laboratory aims to provide a stimulating and unique opportunity for high school (grades 11 and 12) and community college students to dive into the fascinating world of artificial intelligence (AI) and its application in medical imaging informatics. This is a program designed for advanced high school students (grades 11–12) and early college learners, including community college students. We launched the AI Summer School in the summer of 2023, and it has been conducted annually since its inception. This year, our AI Summer School will be held between Monday, June 9 to Friday, June 13, 2025; 9:00 AM to 3:00 PM EDT, at the University of Pittsburgh, in collaboration with the Computational Pathology & AI Center of Excellence (CPACE), the School of Health and Rehabilitation Sciences, and IEEE Computer Society and IEEE Education Society in Pittsburgh, Pennsylvania.
Medical imaging informatics leverages AI-driven computer vision to analyze and interpret medical images for better diagnosis and treatment. A key area of focus is object detection and localization, where AI systems identify and locate relevant features within medical images. This summer school will dive into these techniques, teaching participants how to apply them using Python programming. Through lectures, hands-on exercises, and collaborative projects, attendees will gain practical skills in AI-powered medical image analysis, preparing them to tackle real-world challenges in the field.
The AI Summer School offers a comprehensive one week program designed to introduce high school and community college students to artificial intelligence and its applications in medical imaging. The program begins with foundational concepts, including an introduction to AI, computer vision, and digital image operations, followed by hands-on practice with Python and Google Colab. As the week progresses, students explore advanced topics such as deep learning, convolutional neural networks (CNNs), and object detection techniques like YOLO and SSD. Each day includes lectures from esteemed faculty, hands-on coding exercises, and guest talks from AI researchers in academia and industry. Students will gain practical experience in medical image annotation, image filtering, and object localization, utilizing tools like PyTorch, ITK-SNAP, and Liner.ai. The program culminates in a collaborative team project, where participants apply their knowledge to real-world challenges, followed by team presentations. The summer school concludes with a certificate ceremony, recognizing students' achievements and their participation in this immersive AI learning experience.
Date and Time
Location
Hosts
Registration
- Start time: 09 Jun 2025 01:00 PM UTC
- End time: 13 Jun 2025 07:00 PM UTC
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Add Event to Calendar
- 6048 Forbes Tower
- Atwood Str
- Pittsburgh, Pennsylvania
- United States 15260
- Building: Schhol of Health and Rehabilitation Sciences
- Room Number: 6048
- Contact Event Host
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Nicole Myers; ntm23@pitt.edu
Ann Vinski; anv60@pitt.edu
- Co-sponsored by University of Pittsburgh, IEEE Computer Society and IEEE Education Society.
Speakers
Ahmad of University of Pittsburgh
AI in Medical Imaging
Biography:
Ahmad P. Tafti, PhD, FAMIA
I am an Assistant Professor of Health Informatics in the Department of Health Information Management within the School of Health and Rehabilitation Sciences at the University of Pittsburgh, with a secondary appointment in the Intelligent Systems Program (ISP), at the School of Computing and Information. I am leading our research and educational efforts at the Pitt HexAI Research Laboratory, conducting Health and Explainable AI Podcast series. I am also serving as the Director of Scientific Affairs within the Computational Pathology & AI Center of Excellence. Furthermore, I am a Fellow of the American Medical Informatics Association, and affiliated with the Center for AI Innovation in Medical Imaging (CAIIMI), also serving as an Associate Member at UPMC Hillman Cancer Center. Moreover, I am honored to serve our community as the Vice Chair of IEEE Computer Society at Pittsburgh. I have a deep passion for AI-Powered healthcare informatics and health data science with better patient diagnosis, prognosis, and treatment using large-scale multiple clinical data sources and advanced computational algorithms.
I earned my PhD in Computer Science from University of Wisconsin-Milwaukee and since then, I have been on a quest to explore and solve problems that are worth it and make the most positive impact on people’s lives. I am indeed passionate about diverse biomedical data sources along with artificial intelligence (AI) methods and their applications in healthcare. I often publish under Ahmad P. Tafti and/or A. P. Tafti. I am the 2021 SiiM Imaging Informatics Innovator awardee, Oracle for Research (Eureka) awardee, University of Pittsburgh CTSI awardee, Pittsburgh Cure Sarcoma, PennAITech, Mayo Clinic Benefactor funded CDAs Orthopedics Career Development awardee, Mayo Clinic Transform the Practice awardee, and GE Healthcare Honorable Mention awardee. To date, I have authored 75+ peer-reviewed publications, organizing numerous workshops on intelligent health systems and I have served on the program committee of 15+ conferences, symposiums, and journals in AI and health data science.
Email:
Address:6030 Forbes Tower, , Pittsburgh, Pennsylvania, United States, 15260