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

Ashraf F Fouad¹

¹University of Alabama at Birmingham, Birmingham, Alabama, USA.

International Endodontic Journal

|June 29, 2026

Summary

Artificial intelligence (AI) offers new solutions for endodontic microbiology challenges. AI can advance diagnostic, prognostic, and therapeutic strategies, improving clinical outcomes in endodontic treatment.

Keywords:

artificial intelligence endodontic infections machine learning microbiome next generation sequencing resistome whole genome shotgun sequencing

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Area of Science:

Endodontic microbiology
Artificial intelligence applications

Background:

Endodontic disease stems from complex microbial biofilms irritating pulp and periapical tissues.
Current microbiological analyses lack direct clinical applications for diagnosis, prognosis, or therapy.
Existing antimicrobial strategies for endodontics are often generic, aiming to reduce microbial load.

Purpose of the Study:

To review the potential of artificial intelligence (AI) in endodontic microbiology.
To highlight challenges in endodontic treatment and advances in microbiology.
To explore future AI applications in endodontic microbiology and treatment.

Main Methods:

Narrative review of existing literature on AI, endodontic microbiology, and treatment.
Analysis of current challenges and advancements in the field.

Main Results:

AI is transforming medical fields, including microbiology.
AI enables development of diagnostic and biomarker technologies.
AI can expedite common microbiological tasks.

Conclusions:

AI has significant potential to benefit endodontic research and clinical practice.
AI-driven advancements can lead to improved endodontic diagnostic and therapeutic tools.
The integration of AI in endodontic microbiology promises to enhance treatment strategies.