December 9, 2026
Title: AI-Enhanced Real-World Evidence
Wednesday, December 9, 2026
11:00AM EST | 4:00PM UTC | 5:00PM CET
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Description
Artificial intelligence is rapidly transforming how researchers generate, analyze and apply real-world evidence (RWE), creating new opportunities to answer complex research questions with greater speed, scale and precision. But beyond the hype, where is AI already demonstrating measurable value?
In this webinar, experts will showcase real-world applications of AI through published research presented at ISPOR and the Alzheimer's Association International Conference (AAIC). Using peer-reviewed poster case studies, attendees will explore how AI-enabled approaches—including natural language processing (NLP), machine learning and advanced analytics—are helping researchers unlock richer insights from real-world data while addressing persistent challenges in evidence generation.
Speakers will walk through the research questions, methodologies and outcomes behind these published studies, illustrating how AI can enhance patient identification, improve data quality, accelerate cohort development and generate actionable evidence across therapeutic areas. The session will also discuss practical considerations for implementing AI responsibly, including transparency, validation and ensuring scientific rigor.
Whether you are evaluating AI for HEOR, regulatory, medical affairs or clinical research, this session will provide practical examples and lessons learned that can help inform your own real-world evidence strategy.
Learning Objectives:
- Describe how AI technologies—including machine learning and natural language processing—are being applied to enhance real-world evidence generation.
- Evaluate published case studies from ISPOR and AAIC demonstrating AI-enabled methodologies that improve data quality, patient identification and research efficiency.
- Identify key considerations and best practices for incorporating AI into real-world evidence studies while maintaining scientific rigor, transparency and trustworthiness.
Speakers:
Sunday Ikpe, MBBCh, Ph.D., Principal Research Analyst, Premier Applied Sciences, Charlotte, NC, USA
Gui Lopes, PhD, Principal Research Scientist, Premier Applied Sciences, Charlotte, NC, USA
Sponsored by Corporate Partner, Premier.
Please note: On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar. Reservations are on a first-come, first-served basis.