denti.ai software (AI Technology Inc)

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AI Technology Inc denti.ai software
Denti.Ai Software, supplied by AI Technology Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/denti%2Eai+software/denti+ai+software/pmc11899607-52-1-3
Average 90 stars, based on 1 article reviews

denti.ai software - by Bioz Stars, 2026-10

90/100 stars

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Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: The Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023) is an FDA-cleared and commercially available software that utilizes CNNs to automate diagnostic tasks [ ], including tooth numbering [ ], caries detection, the identification of periapical lesions [ ], and the assessment of radiographic bone levels.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: With an accuracy of 81% for periapical radiographs and 76% for bitewing radiographs, this Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http: //denti.ai, accessed on 6 November 2023) demonstrates clinically acceptable performance as an adjunct tool.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: While Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023) demonstrates capability in these areas, it has not been specifically tested for detecting RBL on intraoral radiographs.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: Our study extends this body of work by being the first to assess a commercially available tool, Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023), for RBL detection in both periapical and bitewing intraoral radiographs, providing practical insights into its clinical applicability.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: The Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai, accessed on 6 November 2023) is an FDA-cleared and commercially available software that utilizes CNNs to automate diagnostic tasks [10], including tooth numbering [11], caries detection, the identification of periapical lesions [12], and the assessment of radiographic bone levels.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: Collectively, these studies underscore the potential of DL models for RBL detection, yet none of these studies evaluated the commercially available Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai, accessed on 6 November 2023).

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: The performance of the Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023) was evaluated using sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and mean absolute error (MAE).

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: The performance of the Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai, accessed on 6 November 2023) was evaluated using sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and mean absolute error (MAE).

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Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: With an accuracy of 81% for periapical radiographs and 76% for bitewing radiographs, this Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http: //denti.ai, accessed on 6 November 2023) demonstrates clinically acceptable performance as an adjunct tool.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: While Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023) demonstrates capability in these areas, it has not been specifically tested for detecting RBL on intraoral radiographs.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: Our study extends this body of work by being the first to assess a commercially available tool, Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023), for RBL detection in both periapical and bitewing intraoral radiographs, providing practical insights into its clinical applicability.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: The Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai, accessed on 6 November 2023) is an FDA-cleared and commercially available software that utilizes CNNs to automate diagnostic tasks [10], including tooth numbering [11], caries detection, the identification of periapical lesions [12], and the assessment of radiographic bone levels.

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: Collectively, these studies underscore the potential of DL models for RBL detection, yet none of these studies evaluated the commercially available Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai, accessed on 6 November 2023).

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation
Article Snippet: The performance of the Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai , accessed on 6 November 2023) was evaluated using sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and mean absolute error (MAE).

Article Title: Automatic Detection of Radiographic Alveolar Bone Loss in Bitewing and Periapical Intraoral Radiographs Using Deep Learning Technology: A Preliminary Evaluation.
Article Snippet: The performance of the Denti.AI software (Denti.AI Technology Inc., Toronto, ON, Canada) (Version 1.3, http://denti.ai, accessed on 6 November 2023) was evaluated using sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and mean absolute error (MAE).

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