Effie Ioannidou, DDS, MDS
Dr. Effie Ioannidou is a tenured Professor and Chair of the Department of Orofacial Sciences at UCSF. Dr. Ioannidou is the Editor-in-Chief of the Journal of Periodontology and the Clinical Advances in Periodontics. She previously served as the Associate Editor of the JDR Clinical and Translational Research. She is currently the AADOCR President (2024-2026).
She served on an ADA Council on Scientific Affairs member and currently serves as Executive Director of the Task Force on Design and Analysis in Oral Health Research. She is an AADOCR (2018) and AAAS (2022) Fellow. She led in founding the IADR Women in Science Network in 2011.
Dr. Effie Ioannidou is a clinician scientist with training in periodontology. Her research addresses clinical and translational questions on the anti-inflammatory effect of periodontal interventions in systemic health and chronic kidney disease. She has recently led a multicenter team of investigators to explore systemic antibiotic prescribing patterns in combination with periodontal therapy.
Recently, she developed a new line of research focusing on the sex biology in oral inflammatory diseases. Dr. Ioannidou is passionate about rigor and transparency in clinical research and is a proponent of high-quality scientific reporting and clinical trial registration.
The Research Day keynote address is titled “Elevating Scholarship: How to be a successful author in the era of AI.” Artificial intelligence is reshaping scientific publishing and peer review process, offering new opportunities to enhance efficiency, consistency, and analytical depth. While AI-assisted tools can support reviewers by identifying methodological flaws, statistical inconsistencies, plagiarism, and reporting gaps, the integration of AI into peer review also introduces significant challenges, including risks of algorithmic bias, overreliance on automated assessments, confidentiality concerns, and unclear boundaries of accountability. In biomedical research, where clinical interpretation and contextual judgment are essential, human expertise remains indispensable. The role of the reviewer is evolving from sole evaluator to critical interpreter of both the manuscript and AI-generated insights. To preserve the integrity of the authorship and peer review process, clear guidelines for AI use, transparency in disclosure, and standards for validation must be established. Ultimately, the responsible integration of AI should augment—not replace—expert judgment, ensuring that peer review remains rigorous, ethical, and aligned with the principles of scientific excellence.