戻る Agenda
Artificial Intelligence/Machine Learning
Session Chair(s)
Badri Rengarajan, MD
Life Sciences
Jazz Pharmaceuticals, United States
What are the ways in which artificial intelligence (AI) can impact clinical decision making and how we design and run clinical trials? How effective or robust is AI in these areas? What parts of clinical research and care will AI take over? What are the barriers to full deployment of AI in clinical care and research? What are the privacy and policy implications of learning software that continuously builds on patient experience to better deliver to the next patient?
Learning Objective : Discuss how artificial intelligence can impact product development, research, and clinical care; Identify potential benefits and barriers to use of artificial intelligence.
Speaker(s)
AI for Beginners: Impact of Artificial Intelligence on eClinical Technology
Vladimir Pyagay
TransPerfect, United Kingdom
Product Manager
Deep Learning for Data-Driven Predictions Based on Medical Images, Videos, and Data
Andrea Cherubini, PHD
Linkverse, Italy
Chief Technical Advisor
Intelligent Automation and Robotics in Clinical Development: A Case Study
Aman Thukral, MPHARM, MS
AbbVie, Inc., United States
Head of Digital Operations & Clinical Systems Data and Statistical Science (DSS)