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

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.