ICCAI 2020: Meaningful AI in the Age of COVID-19

The upcoming ICCAI’2020 Conference, titled “Meaningful AI in the Age of COVID-19”, will be held on September 10-11, 2020.

ICCAI is the annual meeting of the Society for Complex Acute Illness (SCAI), which, since its inception over 15 years ago, has successfully bridged the domains clinical practice of critical care medicine and quantitative approaches to understanding critical illness, with a strong translational focus. On the methodological side, it has emphasized eclecticism, covering, through its interdisciplinary membership, modeling approaches ranging from pure mechanistic differential equations models and agent-based models to purely data-driven machine learning techniques.

We strongly believe that a smart and flexible combination of techniques leveraging individual strength of each approach where appropriate is the only way to successfully address the complexity of real-world problems in acute illness and will showcase this at ICCAI-2020.

Given the historical circumstances brought about by the COVID-19 pandemic, ICCAI’2020 will be conducted entirely online, using Zoom teleconferencing technology. Please see below the tentative full program:

Day 1
Introduction
9:00 – 9:30 Keynote Address:AI in Acute Care: Is it fall or spring?
9:30- 12:30 Thematic session 1:Knowledge-driven AI for injury and critical care: Blending Data and Mechanism
13:30-16:30 Thematic Session 2:Does more Data Imply more Clinical Value?
Day 2
9:00-9:30 Keynote address:The future of AI in Health Care
9:30-12:30 Thematic session 3:Collaborative Research in Data Science: Strength in Diversity
13:30-15:30 Thematic session 4:AI for COVID-19: Blending Mechanism and Data Science
15:45-17:00 Thematic session 5:From Data to Action: Impactful AI
17:00 Meeting wrap-up and conclusions
17:00-18:00 SCAI business meeting

If you need further information or have additional inquiries, please contact Dr. Zamora at zamorar@pitt.edu. We look forward to your attendance.

SCAI 2020 Scientific Program
Gilles Clermont, MD
Sven Zenker, MD
Ruben Zamora, PhD
Beth Lusczek, PhD
Yoram Vodovotz, PhD

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