Press Releases

Study Examines the Potential of AI to Search for and Synthesize Data on Temporomandibular Disorders (TMD)

Alexandria, VA, USA – A study exploring the potential for Artificial Intelligence (AI) to  optimize the synthesis of TMD evidence will be presented at the 101st General Session of the IADR, which will be held in conjunction with the 9th Meeting of the Latin American Region and the 12th World Congress on Preventive Dentistry on June 21-24, 2023, in Bogotá, Colombia.

The Interactive Talk presentation, “Artificial Intelligence Classifier and Search Strategy Performance for Retrieving Studies on TMD,” will take place on Wednesday, June 21, 2023, at 8:50 a.m. Colombia Time (UTC-05:00) during the “Epidemiology and Orofacial Pain with Special Focus on Socioeconomic Inequities” session.

The study by Juan Fernando Fernando Oyarzo of Universidad Andrés Bello, Santiago, Chile, assesses the performance of high-quality search strategies and the AI classifier against the total number of studies in a representative sample of TMD systematic reviews (SR). The reference standard was based on the relative recall method. All articles included in 60 random TMD SRs were used to create the study sample. Search strategy sensitivity was calculated by counting how many studies were acquired. How many articles were TMD-relevant determined the AI classifier sensitivity.

An initial search strategy yielded 172/203 studies in 20 SRs with a sensitivity of 84.8%. The TMD AI classifier detected 136/203 studies (67.2%). Subsequently, additional terms were incorporated from the studies not initially identified and then re-tested in the upgraded version. The TMD AI classifier reached a search strategy sensitivity of 93.3% and 83.3% against the studies included in a new set of SRs (235 and 210/out of 252 studies included in 20 SR). A third search strategy and the TMD Artificial intelligence classifier versions test reached sensitivity of 93.9% and 84.6%, respectively (263 and 237/280 studies in 20 SR).

The proposed search strategy retrieved TMD-related articles effectively. However, artificial intelligence mislabeled several items. The study concluded that while optimizing TMD evidence synthesis is promising, further research is still required.


About IADR
The International Association for Dental Research (IADR) is a nonprofit organization with a mission to drive dental, oral, and craniofacial research for health and well-being worldwide. IADR represents the individual scientists, clinician-scientists, dental professionals, and students based in academic, government, non-profit and private-sector institutions who share our mission. Learn more at www.iadr.org.