“There are good reasons to explore the use of artificial intelligence in pharmacovigilance. There are an increasing number of sources of drug safety information, and efficient screening, processing, or evaluation of them would benefit from accurate automated methods,” explains Gerald Dal Pan, Director, Office of Surveillance and Epidemiology (OSE), CDER. “First, there’s the potential application of AI to the processing of case reports. Second, there’s the potential application of AI for assessing causality in a case report. Third, we’re exploring the use of AI in real-world data as part of the Sentinel Initiative.”