2024 - Responsibly Advancing the Use of AI in Clinical Trials: Current Landscape, Common Misconceptions and Future Opportunities
Date2024-02-22
Deadline2024-02-22
VenueONLINE-VIRTUAL, USA - United States
KeywordsLife Sciences; Clinical Trials
Topics/Call fo Papers
Discover an informative webinar delving into the transformative role of artificial intelligence (AI) in clinical trials: where the industry is currently at, common misconceptions in leveraging AI, proactively tackling the potential for bias and navigating the current regulatory landscape.
In its current state, AI can help optimize operations, integrate platforms, strengthen patient privacy and improve data quality while reducing the risk of human error in clinical trials. AI must be used responsibly and be governed by the highest ethical principles when used in clinical trials. This includes data privacy considerations, and efforts to reduce bias in algorithm performance. Following current regulatory guidance and a company code of conduct, AI, machine learning and deep learning capabilities are responsible across more than 600 ongoing, active clinical trials.
Join this webinar to gain an understanding of the responsible application of AI-enabled algorithms in clinical trial endpoint collection and data analysis.
Keywords: Clinical Trials, Clinical Research, Patient Privacy, Clinical Data, Regulatory, Data Management, Artificial Intelligence, AI, Data Privacy
In its current state, AI can help optimize operations, integrate platforms, strengthen patient privacy and improve data quality while reducing the risk of human error in clinical trials. AI must be used responsibly and be governed by the highest ethical principles when used in clinical trials. This includes data privacy considerations, and efforts to reduce bias in algorithm performance. Following current regulatory guidance and a company code of conduct, AI, machine learning and deep learning capabilities are responsible across more than 600 ongoing, active clinical trials.
Join this webinar to gain an understanding of the responsible application of AI-enabled algorithms in clinical trial endpoint collection and data analysis.
Keywords: Clinical Trials, Clinical Research, Patient Privacy, Clinical Data, Regulatory, Data Management, Artificial Intelligence, AI, Data Privacy
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Last modified: 2024-01-30 07:35:32