Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta‐analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Digestive Diseases"
DOI: 10.1111/1751-2980.12992
Abstract: To investigate systematically previous studies on the accuracy of artificial intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on endoscopic images so as to provide scientific evidence for the effectiveness of these models. read more here.
Keywords: endoscopic images; neoplasms endoscopic; artificial intelligence; accuracy artificial ... See more keywords
Accuracy of artificial intelligence-based segmentation of the mandibular canal in CBCT.
Sign Up to like & getrecommendations! Published in 2024 at "Clinical oral implants research"
DOI: 10.1111/clr.14307
Abstract: OBJECTIVES To investigate the accuracy of artificial intelligence (AI)-based segmentation of the mandibular canal, compared to the conventional manual tracing, implementing implant planning software. MATERIALS AND METHODS Localization of the mandibular canals was performed for… read more here.
Keywords: accuracy artificial; segmentation; mandibular canal; segmentation mandibular ... See more keywords
Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of medical screening"
DOI: 10.1177/09691413221144382
Abstract: OBJECTIVES To systematically review the accuracy of artificial intelligence (AI)-based systems for grading of fundus images in diabetic retinopathy (DR) screening. METHODS We searched MEDLINE, EMBASE, the Cochrane Library and the ClinicalTrials.gov from 1st January… read more here.
Keywords: accuracy; intelligence based; fundus images; artificial intelligence ... See more keywords
Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review
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DOI: 10.1186/s12903-025-05730-y
Abstract: The aim of this review was to evaluate the accuracy of artificial intelligence (AI) in the segmentation of teeth, jawbone (maxilla, mandible with temporomandibular joint), and mandibular (inferior alveolar) canal in CBCT and CT scans.… read more here.
Keywords: accuracy artificial; artificial intelligence; review; segmentation ... See more keywords
Accuracy of artificial intelligence in orthodontic extraction treatment planning: a systematic review and meta analysis
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DOI: 10.1186/s12903-025-06880-9
Abstract: This study aimed to evaluate the diagnostic accuracy of artificial intelligence (AI) models in predicting dental extractions during orthodontic treatment planning. A systematic review and meta-analysis were conducted following PRISMA guidelines and registered in PROSPERO… read more here.
Keywords: accuracy artificial; artificial intelligence; meta; planning systematic ... See more keywords
Accuracy of Artificial Intelligence-Designed Dental Crowns: A Scoping Review of In-Vitro Studies
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DOI: 10.3390/app15189866
Abstract: Artificial intelligence (AI), particularly deep learning, is increasingly applied in dental prosthetics, offering new approaches to dental crown design. This scoping review aimed to summarize current evidence on AI-assisted crown design, focusing on algorithm types,… read more here.
Keywords: scoping review; accuracy artificial; artificial intelligence; crown design ... See more keywords
Diagnostic Test Accuracy of Artificial Intelligence in Detecting Periapical Periodontitis on Two-Dimensional Radiographs: A Retrospective Study and Literature Review
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DOI: 10.3390/medicina59040768
Abstract: This study aims to evaluate the diagnostic accuracy of artificial intelligence in detecting apical pathosis on periapical radiographs. A total of twenty anonymized periapical radiographs were retrieved from the database of Poznan University of Medical… read more here.
Keywords: radiology; accuracy; artificial intelligence; radiographs ... See more keywords
Accuracy of artificial intelligence-assisted soft tissue landmark identification in serial lateral cephalograms of Class III two-jaw surgery patients
Sign Up to like & getrecommendations! Published in 2025 at "Korean Journal of Orthodontics"
DOI: 10.4041/kjod24.302
Abstract: Objective To evaluate the accuracy of artificial intelligence (AI)-assisted soft tissue landmark identification (STLI) on serial lateral cephalograms (Lat-Cephs) of Class III patients treated with two-jaw orthognathic surgery across four different time-points. Methods A convolutional… read more here.
Keywords: surgery; accuracy artificial; soft tissue; time points ... See more keywords