Artificial intelligence (AI) has created an unprecedented revolution in various fields of medicine and digital health. It continuously improves multiple services in disease prevention, diagnosis, prediction, and treatment. It will shape the future of individual and global public health and help countries improve global health.
Despite all these advantages, the risks and challenges of artificial intelligence in the health field must be considered alongside its potential benefits. Ethical, legal, and social issues related to access to appropriate data, privacy, interpretability and reliability, and human-centeredness of artificial intelligence systems are some of the important challenges in this field that are developing rapidly.
The World Health Organization (WHO) guidance on Ethics & Governance of Artificial Intelligence for Health also calls for caution to be exercised in using artificial intelligence (AI) and large language model tools (LLMs) to protect and promote human well-being, human safety, and autonomy, and preserve public health.
In this symposium, scientists and experts in medicine and engineering from around the globe will address some of these opportunities and challenges through oral presentations, debate sessions, roundtables and workshops.
Some of the key issues that would be addressed in AMS2024 are:
- 1. The need to use Trustworthy AI in digital health:
- 2. The need to solve big data challenges in digital health:
- 3. The need to use human-centered AI in digital health in order to ensure trustworthy and ethical AI:
The AMS2004 Symposium offers three workshops on applications of AI in Digital Health.
Dates:
January 31st – February 1st, 2024
Location:
Prof. Rabiee Auditorium, Sharif University of Technology, Tehran, Iran
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