Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis
CONCLUSION: Deep learning models successfully can detect, identify, and number teeth on dental radiographs. Deep learning-powered tooth numbering systems can enhance complex automated processes, such as accurately reporting which teeth have caries, thus aiding clinicians in making informed decisions during clinical practice.PMID:38183164 | DOI:10.1093/dmfr/twad001 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 5, 2024 Category: Radiology Authors: Soroush Sadr Rata Rokhshad Yasaman Daghighi Mohsen Golkar Fateme Tolooie Kheybari Fatemeh Gorjinejad Atousa Mataji Kojori Parisa Rahimirad Parnian Shobeiri Mina Mahdian Hossein Mohammad-Rahimi Source Type: research
A Content-Aware Chatbot based on GPT 4 provides trustworthy Recommendations for Cone Beam Computed Tomography Guidelines in Dental Imaging
CONCLUSIONS: A content-aware chatbot using GPT-4 reliably provided recommendations according to current consensus guidelines. The responses were deemed trustworthy and transparent and therefore facilitate the integration of artificial intelligence into clinical decision-making.PMID:38180877 | DOI:10.1093/dmfr/twad015 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 5, 2024 Category: Radiology Authors: Maximilian Frederik Russe Alexander Rau Michael Andreas Ermer Ren é Rothweiler Sina Wenger Klara Kl öble Ralf Schulze Fabian Bamberg Rainer Schmelzeisen Marco Reisert Wiebke Semper-Hogg Source Type: research
Diagnostic accuracy of ultrasonography in relation to salivary gland biopsy in Sj ögren's syndrome: a systematic review with meta-analysis
CONCLUSIONS: The diagnostic accuracy of SGUS was similar to that of mSGB. SGUS is an effective diagnostic test that shows good sensitivity and high specificity, in addition to being a good tool for prognosis and for avoiding unnecessary biopsies. More studies using similar methodologies are needed to assess the accuracy of SGUS in predicting the result of mSGB. Our results will contribute to decision-making for the implementation of SGUS as a diagnostic tool for SS, considering the advantages of this method.PMID:38177085 | DOI:10.1093/dmfr/twad007 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 4, 2024 Category: Radiology Authors: Fernanda B Martins Millena B Oliveira Leandro M Oliveira Alan Grupioni Louren ço Luiz Renato Paranhos Ana Carolina F Motta Source Type: research
Mask refinement network for tooth segmentation on panoramic radiographs
CONCLUSIONS: This study proposed an efficient deep learning algorithm for accurately extracting the mask of any individual tooth from PRs. Precise tooth masks can provide valuable reference for clinical diagnosis and treatment. This algorithm is a fundamental basis for further automated processing applications.PMID:38166355 | DOI:10.1093/dmfr/twad012 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 2, 2024 Category: Radiology Authors: Li Niu Shengwei Zhong Zhiyu Yang Baochun Tan Junjie Zhao Wei Zhou Peng Zhang Lingchen Hua Weibin Sun Houxuan Li Source Type: research
Landmark annotation through feature combinations: a comparative study on cephalometric images with in-depth analysis of model's explainability
CONCLUSIONS: The presented analysis enhances the understanding of the significance of different features and their combinations in the realm of landmark annotation but also paves the way for further exploration of landmark-specific feature combination methods, facilitated by explainability.PMID:38166356 | DOI:10.1093/dmfr/twad011 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 2, 2024 Category: Radiology Authors: Rashmi S Srinath S Prashanth S Murthy Seema Deshmukh Source Type: research
Mask refinement network for tooth segmentation on panoramic radiographs
CONCLUSIONS: This study proposed an efficient deep learning algorithm for accurately extracting the mask of any individual tooth from PRs. Precise tooth masks can provide valuable reference for clinical diagnosis and treatment. This algorithm is a fundamental basis for further automated processing applications.PMID:38166355 | DOI:10.1093/dmfr/twad012 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 2, 2024 Category: Radiology Authors: Li Niu Shengwei Zhong Zhiyu Yang Baochun Tan Junjie Zhao Wei Zhou Peng Zhang Lingchen Hua Weibin Sun Houxuan Li Source Type: research
Landmark annotation through feature combinations: a comparative study on cephalometric images with in-depth analysis of model's explainability
CONCLUSIONS: The presented analysis enhances the understanding of the significance of different features and their combinations in the realm of landmark annotation but also paves the way for further exploration of landmark-specific feature combination methods, facilitated by explainability.PMID:38166356 | DOI:10.1093/dmfr/twad011 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 2, 2024 Category: Radiology Authors: Rashmi S Srinath S Prashanth S Murthy Seema Deshmukh Source Type: research
Mask refinement network for tooth segmentation on panoramic radiographs
CONCLUSIONS: This study proposed an efficient deep learning algorithm for accurately extracting the mask of any individual tooth from PRs. Precise tooth masks can provide valuable reference for clinical diagnosis and treatment. This algorithm is a fundamental basis for further automated processing applications.PMID:38166355 | DOI:10.1093/dmfr/twad012 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 2, 2024 Category: Radiology Authors: Li Niu Shengwei Zhong Zhiyu Yang Baochun Tan Junjie Zhao Wei Zhou Peng Zhang Lingchen Hua Weibin Sun Houxuan Li Source Type: research
Landmark annotation through feature combinations: a comparative study on cephalometric images with in-depth analysis of model's explainability
CONCLUSIONS: The presented analysis enhances the understanding of the significance of different features and their combinations in the realm of landmark annotation but also paves the way for further exploration of landmark-specific feature combination methods, facilitated by explainability.PMID:38166356 | DOI:10.1093/dmfr/twad011 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 2, 2024 Category: Radiology Authors: Rashmi S Srinath S Prashanth S Murthy Seema Deshmukh Source Type: research
Assessment of CBCT gray value in different regions-of-interest and fields-of-view compared to Hounsfield unit
CONCLUSIONS: The ROI location and the FOV size can significantly affect the GVs obtained from CBCT images. It is not recommended to use the GV scale within the posterior mandibular teeth region due to the potential for error. Additionally, selecting smaller FOV sizes, such as 8 × 8 cm, can provide GVs closer to the gold-standard numbers.PMID:37874074 | DOI:10.1259/dmfr.20230187 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - October 24, 2023 Category: Radiology Authors: Atiye Yadegari Yaser Safi Soheil Shahbazi Sahar Yaghoutiazar Mitra Ghazizadeh Ahsaie Source Type: research
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions
CONCLUSIONS: Periosteal reaction and sequestrum formation are suspected to be pre-clinical MRONJ lesions. Furthermore, ARD induced bony changes and radiographic variations between ARD types were seen.PMID:37874081 | DOI:10.1259/dmfr.20230238 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - October 24, 2023 Category: Radiology Authors: Catalina Moreno Rabie Rocharles Cavalcante Fontenele Nicolly Oliveira Santos Fernanda Nogueira Reis Tim Van den Wyngaert Reinhilde Jacobs Source Type: research
Assessment of CBCT gray value in different regions-of-interest and fields-of-view compared to Hounsfield unit
CONCLUSIONS: The ROI location and the FOV size can significantly affect the GVs obtained from CBCT images. It is not recommended to use the GV scale within the posterior mandibular teeth region due to the potential for error. Additionally, selecting smaller FOV sizes, such as 8 × 8 cm, can provide GVs closer to the gold-standard numbers.PMID:37874074 | DOI:10.1259/dmfr.20230187 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - October 24, 2023 Category: Radiology Authors: Atiye Yadegari Yaser Safi Soheil Shahbazi Sahar Yaghoutiazar Mitra Ghazizadeh Ahsaie Source Type: research
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions
CONCLUSIONS: Periosteal reaction and sequestrum formation are suspected to be pre-clinical MRONJ lesions. Furthermore, ARD induced bony changes and radiographic variations between ARD types were seen.PMID:37874081 | DOI:10.1259/dmfr.20230238 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - October 24, 2023 Category: Radiology Authors: Catalina Moreno Rabie Rocharles Cavalcante Fontenele Nicolly Oliveira Santos Fernanda Nogueira Reis Tim Van den Wyngaert Reinhilde Jacobs Source Type: research
Assessment of CBCT gray value in different regions-of-interest and fields-of-view compared to Hounsfield unit
CONCLUSIONS: The ROI location and the FOV size can significantly affect the GVs obtained from CBCT images. It is not recommended to use the GV scale within the posterior mandibular teeth region due to the potential for error. Additionally, selecting smaller FOV sizes, such as 8 × 8 cm, can provide GVs closer to the gold-standard numbers.PMID:37874074 | DOI:10.1259/dmfr.20230187 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - October 24, 2023 Category: Radiology Authors: Atiye Yadegari Yaser Safi Soheil Shahbazi Sahar Yaghoutiazar Mitra Ghazizadeh Ahsaie Source Type: research
Three-dimensional clinical assessment for MRONJ risk in oncologic patients following tooth extractions
CONCLUSIONS: Periosteal reaction and sequestrum formation are suspected to be pre-clinical MRONJ lesions. Furthermore, ARD induced bony changes and radiographic variations between ARD types were seen.PMID:37874081 | DOI:10.1259/dmfr.20230238 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - October 24, 2023 Category: Radiology Authors: Catalina Moreno Rabie Rocharles Cavalcante Fontenele Nicolly Oliveira Santos Fernanda Nogueira Reis Tim Van den Wyngaert Reinhilde Jacobs Source Type: research
