Can Artificial Intelligence Be Utilised to Develop Point‐of‐Care Endodontic Microbiological Technologies?

BACKGROUND: Primary or persistent endodontic disease is caused by microbial biofilms that irritate the pulp and periapical tissues. Extensive microbiological analyses of these biofilms and their constituent pathogens have revealed their diversity and complexity. However, these studies have not resulted in many direct clinical chairside diagnostic, prognostic, or therapeutic technologies or paradigms. The overwhelming volume of endodontic antimicrobial strategies represents generic approaches that aim to reduce microbial loads to facilitate healing. OBJECTIVES: This narrative review explores the potential applications of artificial intelligence (AI) in endodontic microbiology, highlighting current challenges in endodontic treatment, advances in microbiology and potential future applications of AI in endodontic microbiology and treatment strategies. RESULTS AND CONCLUSION: AI continues to revolutionize various fields of medicine, including microbiology. The discipline of microbiology has already exploited AI to develop various diagnostic and biomarker technologies, as well as to facilitate and expedite common tasks. Several of these advances could be used to benefit research and clinical practice in endodontics.