These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 38743125)

  • 1. AI-Assisted Detection of Interproximal, Occlusal, and Secondary Caries on Bite-Wing Radiographs: A Single-Shot Deep Learning Approach.
    Karakuş R; Öziç MÜ; Tassoker M
    J Imaging Inform Med; 2024 May; ():. PubMed ID: 38743125
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The U-Net Approaches to Evaluation of Dental Bite-Wing Radiographs: An Artificial Intelligence Study.
    Baydar O; Różyło-Kalinowska I; Futyma-Gąbka K; Sağlam H
    Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection of pulpal calcifications on bite-wing radiographs using deep learning.
    Yuce F; Öziç MÜ; Tassoker M
    Clin Oral Investig; 2023 Jun; 27(6):2679-2689. PubMed ID: 36564651
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AI-Driven localization of all impacted teeth and prediction of winter angulation for third molars on panoramic radiographs: Clinical user interface design.
    Zirek T; Öziç MÜ; Tassoker M
    Comput Biol Med; 2024 Jun; 178():108755. PubMed ID: 38897151
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep-learning approach for caries detection and segmentation on dental bitewing radiographs.
    Bayrakdar IS; Orhan K; Akarsu S; Çelik Ö; Atasoy S; Pekince A; Yasa Y; Bilgir E; Sağlam H; Aslan AF; Odabaş A
    Oral Radiol; 2022 Oct; 38(4):468-479. PubMed ID: 34807344
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluating the Accuracy of AI-Based Software vs Human Interpretation in the Diagnosis of Dental Caries Using Intraoral Radiographs: An RCT.
    Das M; Shahnawaz K; Raghavendra K; Kavitha R; Nagareddy B; Murugesan S
    J Pharm Bioallied Sci; 2024 Feb; 16(Suppl 1):S812-S814. PubMed ID: 38595404
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Development of a deep learning based prototype artificial intelligence system for the detection of dental caries in children].
    Li RZ; Zhu JX; Wang YY; Zhao SY; Peng CF; Zhou Q; Sun RQ; Hao AM; Li S; Wang Y; Xia B
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2021 Dec; 56(12):1253-1260. PubMed ID: 34915661
    [No Abstract]   [Full Text] [Related]  

  • 8. AI-based dental caries and tooth number detection in intraoral photos: Model development and performance evaluation.
    Yoon K; Jeong HM; Kim JW; Park JH; Choi J
    J Dent; 2024 Feb; 141():104821. PubMed ID: 38145804
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms.
    Liu Y; Xia K; Cen Y; Ying S; Zhao Z
    Oral Radiol; 2024 Jul; 40(3):375-384. PubMed ID: 38498223
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An artificial intelligence proposal to automatic teeth detection and numbering in dental bite-wing radiographs.
    Yasa Y; Çelik Ö; Bayrakdar IS; Pekince A; Orhan K; Akarsu S; Atasoy S; Bilgir E; Odabaş A; Aslan AF
    Acta Odontol Scand; 2021 May; 79(4):275-281. PubMed ID: 33176533
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dental student application of artificial intelligence technology in detecting proximal caries lesions.
    Ayan E; Bayraktar Y; Çelik Ç; Ayhan B
    J Dent Educ; 2024 Apr; 88(4):490-500. PubMed ID: 38200405
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system.
    Başaran M; Çelik Ö; Bayrakdar IS; Bilgir E; Orhan K; Odabaş A; Aslan AF; Jagtap R
    Oral Radiol; 2022 Jul; 38(3):363-369. PubMed ID: 34611840
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diagnosis of interproximal caries lesions with deep convolutional neural network in digital bitewing radiographs.
    Bayraktar Y; Ayan E
    Clin Oral Investig; 2022 Jan; 26(1):623-632. PubMed ID: 34173051
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cost-effectiveness of Artificial Intelligence for Proximal Caries Detection.
    Schwendicke F; Rossi JG; Göstemeyer G; Elhennawy K; Cantu AG; Gaudin R; Chaurasia A; Gehrung S; Krois J
    J Dent Res; 2021 Apr; 100(4):369-376. PubMed ID: 33198554
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial intelligence (AI) in restorative dentistry: Performance of AI models designed for detection of interproximal carious lesions on primary and permanent dentition.
    Azhari AA; Helal N; Sabri LM; Abduljawad A
    Digit Health; 2023; 9():20552076231216681. PubMed ID: 38047163
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning for Caries Detection and Classification.
    Lian L; Zhu T; Zhu F; Zhu H
    Diagnostics (Basel); 2021 Sep; 11(9):. PubMed ID: 34574013
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dental Caries Detection and Classification in CBCT Images Using Deep Learning.
    Esmaeilyfard R; Bonyadifard H; Paknahad M
    Int Dent J; 2024 Apr; 74(2):328-334. PubMed ID: 37940474
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of artificial intelligence
    Güneç HG; Ürkmez EŞ; Danaci A; Dilmaç E; Onay HH; Cesur Aydin K
    Quant Imaging Med Surg; 2023 Nov; 13(11):7494-7503. PubMed ID: 37969638
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Impact of artificial intelligence on dentists' gaze during caries detection: A randomized controlled trial.
    Arsiwala-Scheppach LT; Castner NJ; Rohrer C; Mertens S; Kasneci E; Cejudo Grano de Oro JE; Schwendicke F
    J Dent; 2024 Jan; 140():104793. PubMed ID: 38016620
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Deep Learning-Based Approach for Segmentation of Different Type Caries Lesions on Panoramic Radiographs.
    Dayı B; Üzen H; Çiçek İB; Duman ŞB
    Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673010
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.