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Three Good Reasons to Use Artificial Intelligence in Pharmacovigilance
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“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.”
20 פרקים
סדרה בארכיון ("עדכון לא פעיל" status)
When? This feed was archived on September 02, 2022 22:36 (). Last successful fetch was on August 02, 2022 20:04 ()
Why? עדכון לא פעיל status. השרתים שלנו לא הצליחו לאחזר פודקאסט חוקי לזמן ממושך.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 307728058 series 2370677
“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.”
20 פרקים
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