Diagnostic accuracy of artificial intelligence versus manual detection in marginal bone loss around fixed prosthesis. a systematic review.

Journal: JPMA. The Journal of the Pakistan Medical Association

PMID: 38712407

Abstract

OBJECTIVES: The aim of the review is to evaluate the existing precision of artificial intelligence (AI) in detecting Marginal Bone Loss (MBL) around prosthetic crowns using 2-Dimentional radiographs. It also summarises the recent advances and future challenges associated to their clinical application.

Authors

Syeda Abeerah Tanveer

Department of Surgery, Section of Operative Dentistry and Endodontics, Aga Khan University Hospital, Karachi, Pakistan.
Bibi Fatima

Department of Surgery, Section of Operative Dentistry and Endodontics, Aga Khan University Hospital, Karachi, Pakistan.
Robia Ghafoor

Department of Surgery, Section of Operative Dentistry and Endodontics, Aga Khan University Hospital, Karachi, Pakistan.

Keywords

Alveolar Bone Loss Artificial Intelligence Crowns Humans Radiography, Panoramic Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (38712407)

Diagnostic accuracy of artificial intelligence versus manual detection in marginal bone loss around fixed prosthesis. a systematic review.

Abstract

Authors

Keywords

External Resources

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