BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250623T150118Z UID:89E92B61-9F50-43F6-A188-B9BBFD181E10 DTSTART;TZID=America/New_York:20250609T090000 DTEND;TZID=America/New_York:20250613T150000 DESCRIPTION:Pitt AI Summer School organized by the [Pitt HexAI Research Lab oratory](https://pitthexai.github.io/) aims to provide a stimulating and u nique opportunity for high school (grades 11 and 12) and community college students to dive into the fascinating world of artificial intelligence (A I) and its application in medical imaging informatics. This is a program d esigned for advanced high school students (grades 11–12) and early colle ge learners\, including community college students. We launched the AI Sum mer School in the summer of 2023\, and it has been conducted annually sinc e its inception. This year\, our AI Summer School will be held between Mon day\, June 9 to Friday\, June 13\, 2025\; 9:00 AM to 3:00 PM EDT\, at the [University of Pittsburgh](http://www.pitt.edu)\, in collaboration with th e [Computational Pathology & AI Center of Excellence (CPACE)](https://www. path.pitt.edu/divisions/computational-pathology-informatics/computational- pathology-ai-center-excellence)\, the [School of Health and Rehabilitation Sciences](https://www.shrs.pitt.edu/)\, and IEEE Computer Society and IEE E Education Society in Pittsburgh\, Pennsylvania.\n\nMedical imaging infor matics leverages AI-driven computer vision to analyze and interpret medica l images for better diagnosis and treatment. A key area of focus is object detection and localization\, where AI systems identify and locate relevan t features within medical images. This summer school will dive into these techniques\, teaching participants how to apply them using Python programm ing. 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.\n\nThe AI S ummer 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 digita l image operations\, followed by hands-on practice with Python and Google Colab. As the week progresses\, students explore advanced topics such as d eep learning\, convolutional neural networks (CNNs)\, and object detection techniques like YOLO and SSD. Each day includes lectures from esteemed fa culty\, 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 r eal-world challenges\, followed by team presentations. The summer school c oncludes with a certificate ceremony\, recognizing students' achievements and their participation in this immersive AI learning experience.\n\nCo-sp onsored by: University of Pittsburgh\, IEEE Computer Society and IEEE Educ ation Society.\n\nSpeaker(s): Ahmad\, \n\nRoom: 6048\, Bldg: Schhol of Hea lth and Rehabilitation Sciences\, 6048 Forbes Tower \, Atwood Str\, Pittsb urgh\, Pennsylvania\, United States\, 15260\, Virtual: https://events.vtoo ls.ieee.org/m/485334 LOCATION:Room: 6048\, Bldg: Schhol of Health and Rehabilitation Sciences\, 6048 Forbes Tower \, Atwood Str\, Pittsburgh\, Pennsylvania\, United State s\, 15260\, Virtual: https://events.vtools.ieee.org/m/485334 ORGANIZER:tafti.ahmad@pitt.edu SEQUENCE:20 SUMMARY:AI Summer School for Medical Imaging Informatics URL;VALUE=URI:https://events.vtools.ieee.org/m/485334 X-ALT-DESC:Description: <br /><p>Pitt AI Summer School organized by the <a href="https://pitthexai.github.io/" target="_blank" rel="noopener">Pitt He xAI Research Laboratory</a> aims to provide a stimulating and unique oppor tunity for <strong>high school (grades 11 and 12) and community college st udents</strong> to dive into the fascinating world of artificial intellige nce (AI) and its application in medical imaging informatics. This is a pro gram designed for advanced high school students (grades 11&ndash\;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 an nually since its inception. This year\, our AI Summer School will be held between <strong>Monday\, June 9 to Friday\, June 13\, 2025\; 9:00 AM to 3: 00 PM EDT</strong>\, at the <a href="http://www.pitt.edu" target="_blank" rel="noopener">University of Pittsburgh</a>\, in collaboration with the <a href="https://www.path.pitt.edu/divisions/computational-pathology-informa tics/computational-pathology-ai-center-excellence" target="_blank" rel="no opener">Computational Pathology &amp\; AI Center of Excellence (CPACE)</a> \, the <a href="https://www.shrs.pitt.edu/" target="_blank" rel="noopener" >School of Health and Rehabilitation Sciences</a>\, and <span data-olk-cop y-source="MessageBody">IEEE Computer&nbsp\;Society and IEEE Education Soci ety in Pittsburgh\, Pennsylvania.</span></p>\n<p>Medical imaging informati cs leverages AI-driven computer vision to analyze and interpret medical im ages for better diagnosis and treatment. A key area of focus is object det ection and localization\, where AI systems identify and locate relevant fe atures within medical images. This summer school will dive into these tech niques\, teaching participants how to apply them using Python programming. Through lectures\, hands-on exercises\, and collaborative projects\, atte ndees will gain practical skills in AI-powered medical image analysis\, pr eparing them to tackle real-world challenges in the field.</p>\n<p>The AI Summer School offers a comprehensive <strong>one week</strong> program des igned to introduce high school and community college students to artificia l intelligence and its applications in medical imaging. The program begins with foundational concepts\, including an introduction to AI\, computer v ision\, and digital image operations\, followed by <strong>hands-on practi ce with Python and Google Colab</strong>. As the week progresses\, student s explore advanced topics such as deep learning\, convolutional neural net works (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 g ain practical experience in medical image annotation\, image filtering\, a nd object localization\, utilizing tools like PyTorch\, ITK-SNAP\, and Lin er.ai. The program culminates in a collaborative team project\, where part icipants apply their knowledge to real-world challenges\, followed by team presentations. The summer school concludes with a <strong>certificate cer emony</strong>\, recognizing students' achievements and their participatio n in this immersive AI learning experience.</p> END:VEVENT END:VCALENDAR