AI Boot Camp (Beginner Track)

For the beginner track, micro-learning tutorials built on the UF AI Boot Camp curricula will be modified and taught by CHoRUS faculty and UF College of Medicine AI faculty. Trainees will be guided through several hands-on example applications of AI in Clinical Care via interactive Python programming notebooks that showcase AI/ML methods applied to real-world clinical datasets. Instructional material will combine didactic with experiential learning. The beginner track assumes no prior programming experience and is aimed primarily at AI/ML novices.

Workshop material will consist of brief case studies that articulate and evaluate AI/ML practices and contribute to the development of AI in Clinical Care domain knowledge. For this track, we will accept 60 total trainees.

Before the workshop (self-paced prerequisite instruction will be sent to registrants in March):

  • Foundations of AI-Based Medicine
  • AI Based Medicine Technical Expertise CME

Schedule

Workshop Sessions will run in two blocks: 8:30 am-12:30 pm and 1:30 pm-5:30 pm

  • Welcome & Setup
  • Jupyter Notebook: A Brief Introduction to Python
  • Jupyter Notebook: Biomedical Data Analysis (Pandas)
  • Lecture: Introduction to Artificial Intelligence
  • Jupyter Notebook: AI Ethics (CHoRUS SWD)
  • Mentoring Lunch
  • Jupyter Notebook: LLMs for AI
  • Lecture: OMOP
  • Jupyter Notebook: Standards (CHoRUS SWD)
  • Lecture: Waveforms
  • Jupyter Notebook: Waveforms (CHoRUS SWD)

Learning Objectives

By the end of this workshop, students will be able to:

  • Get familiar and apply LLMs with Jupyter notebooks
  • Navigate the Jupyter Lab environment and create Jupyter notebooks
  • Explain the rules that govern Python variables, loops, conditionals, and functions
  • Develop and execute Python code for manipulating biomedical data
  • Identify the important Python libraries for biomedical data science
  • Discuss the importance of multidisciplinary collaboration for advancing medical AI

Participants: The Beginner Track can host 60 total participants:

  • 10 seats: Recipients of CHoRUS members travel grants (details at https://chorus4ai.org/).
  • 10 seats: Held for UF students, residents and fellows through a competitive process. These individuals will receive $500 to cover their travel and free registration.
  • 20 seats in-person: Open to all with a registration fee of $200.
  • 20 seats online: Open to all with a registration fee of $150.