AMS2024 Workshops (3 workshops)
Workshop Chairs: Alireza Yargholi, Seyed Amir Ahmad Safavi-Naini
Registration is required for participants.
Symposium on Opportunities and Challenges of Artificial Intelligence in Digital Health
Prof. Rabiee Auditorium, Sharif University of Technology
January 31st – February 1st, 2024
Workshop Location: Kharazmi Hall, CE-Building, 4th Floor, Sharif University of Technology, Tehran, Iran
Workshop #1: AI Tools for Digital Health
Wednesday, January 31, 2024 (9:30 – 12:00)
Registration Fee: 300,000 Tomans
(For registration, please see the instructions at the Important Announcement Panel of AMS2024 homepage)
Maximum Capacity: 70
Target group: Faculty Members of Medical Sciences, Physicians, Medical Students
Lecturers:
Seyed Amir Ahmad Safavi-Naini
Postdoctoral Researcher, AI in Health
Gastroenterology and Liver Diseases Research Institute, SBUMS
& Founder of the PanCanAID Initiative
Zahra Dehghanian
PhD Candidate, Artificial Intelligence
Department of Computer Engineering, Sharif University of Technology
Armin Behnamnia
PhD Candidate, Artificial Intelligence
Department of Computer Engineering, Sharif University of Technology
Workshop length:
Two hours and thirty minutes (150 minutes)
Time & Location:
Wednesday: January 31, 2024 (9:30 – 12:00)
Workshop Location: Kharazmi Hall, CE-Building, 4th Floor
Objectives:
This workshop aims to provide participants with the foundational understanding and development strategies for AI tools in digital health. We start with an introductory overview of the tools and then delve into their specific applications in medical prediction based on data analysis and medical imaging. In the workshop's hands-on part, attendees will design a data structure tailored to medical requirements. The workshop will conclude with participants gaining insights into the interpretability aspects of AI tools. The specific topics include:
Outline:
Foundations of AI in Healthcare (30 mins)
AI Applications in Medical Imaging (30 mins)
Interactive Session: Conceptualizing Ideas (20 mins)
Understanding AI Tools' Interpretability (30 mins)
Interactive Session:
Integrating Human Judgment with AI (10 mins)
Workshop #2: Basic Skills for Generative AI in Medicine
Wednesday, January 31, 2024 (13:30 – 15:50)
Registration Fee: 300,000 Tomans
(For registration, please see the instructions at the Important Announcement Panel of AMS2024 homepage)
Maximum Capacity: 70
Target group: Faculty Members of Medical Sciences, Physicians, Medical Students
Lecturer:
Seyed Mahmoud Tara
Associate Professor of Health Informatics
Shahid Rajaie Cardiovascular Institute
Workshop length:
Two hours and twenty minutes (140 minutes)
Time & Location:
Wednesday: January 31, 2024 (13:30 – 15:50)
Workshop Location: Kharazmi Hall, CE-Building, 4th Floor
Outline:
First hour (60 mins)
Questions & Answers (20 minutes)
Second hour (60 mins)
Workshop #3: Tutorial on LLMs for Digital Health
Thursday, February 1, 2024 (9:30 – 12)
Registration Fee: 300,000 Tomans
(For registration, please see the instructions at the Important Announcement Panel of AMS2024 homepage)
Maximum Capacity: 70
Target group: Faculty Members of Medical Sciences, Physicians, Medical Students
Lecturers:
Muhammed Javad Feyzabadi Sani
Ph.D. Candidate, Artificial Intelligence
Department of Computer Engineering, Sharif University of Technology
Amirhossein Hadian
MSc Student, Artificial Intelligence
Department of Computer Engineering, Sharif University of Technology
Workshop length:
Two hours and thirty minutes (150 minutes)
Time & Location:
Thursday: February 1, 2024 (9:30 – 12)
Workshop Location: Kharazmi Hall, CE-Building, 4th Floor
Objectives:
This workshop focuses on introducing and developing AI-driven large language models (LLM) tools. The session begins with an overview of cutting-edge techniques in crafting LLMs. Subsequently, the discussion will shift to how these models can be applied within healthcare. The hands-on segment of the workshop will provide attendees with practical experience in operating and interacting with a prominent large language model called ChatGPT.
Outline:
Overview of LLM Applications (15 mins)
Fundamentals of Text Processing and Linguistic Models (40 mins)
LLMs in the Healthcare Sector (40 mins)
Hands-On Session: Mastering ChatGPT and Effective Prompting (25 mins)