98%
921
2 minutes
20
Objectives: To evaluate patients' perceptions of the use of artificial intelligence (AI) in dental imaging diagnostics across 6 centres worldwide, hereby named according to their respective cities: Ribeirão Preto (Brazil), Aarhus (Denmark), Lyon (France), Tromsø (Norway), Porto (Portugal), Louisville (USA).
Methods: A survey was administered at each centre, focusing on patient attitudes and beliefs regarding AI in dental imaging diagnostics. The survey comprised 16 statements rated on a Likert scale, patient characteristics, and an optional comment section. Inter-centre differences were analysed using chi-square and Fisher's exact tests, and correlation analyses were performed between participant characteristics and their perceptions of AI.
Results: A total of 2,581 responses were collected. Most participants expressed positive perceptions of AI as a complementary diagnostic tool, rather than a replacement for human dentists. Key concerns included the need for human oversight, data privacy, and potential cost increases. Differences were observed between centres, with participants from Ribeirão Preto being more likely to accept AI replacing dentists, whereas those from Aarhus and Tromsø expressed greater scepticism about AI's diagnostic capabilities. Although higher levels of education and knowledge about AI correlated with more optimistic perspectives about AI's diagnostic capabilities, they were also associated with an increased preference for human supervision.
Conclusions: Overall, patients favour the use of AI in dental imaging as an auxiliary diagnostic tool, with human supervision remaining essential. Cultural and demographic factors significantly influence perceptions.
Advances In Knowledge: The findings highlight the need for tailored communication strategies to address patient concerns if AI is integrated into dental care.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/dmfr/twaf018 | DOI Listing |
BMC Oral Health
September 2025
Oral and Maxillofacial Radiology Department, Cairo university, Cairo, Egypt.
Aim: The purpose of this study was to assess the accuracy of a customized deep learning model based on CNN and U-Net for detecting and segmenting the second mesiobuccal canal (MB2) of maxillary first molar teeth on cone beam computed tomography (CBCT) scans.
Methodology: CBCT scans of 37 patients were imported into 3D slicer software to crop and segment the canals of the mesiobuccal (MB) root of the maxillary first molar. The annotated data were divided into two groups: 80% for training and validation and 20% for testing.
Jpn J Ophthalmol
September 2025
Department of Ophthalmology, Osaka University Graduate School of Medicine, Room E7, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Abtract: PURPOSE: To evaluate the correlation between corneal backscatter and visual function in patients with Fuchs endothelial corneal dystrophy (FECD).
Study Design: Prospective case series.
Methods: This study included 53 eyes from 38 patients with FECD.
Minerva Dent Oral Sci
September 2025
Department of Dental Cell Research, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, India -
Dental waste, including metal, plastic, and chemical residues, and high energy and water consumption, significantly contribute to environmental degradation. This review highlights the environmental impact of common dental materials and practices, such as amalgam, resin composites, and disposable plastics. The aim is to examine current evidence, emphasizing mercury pollution, microplastic release, and biomedical waste handling.
View Article and Find Full Text PDFMinerva Dent Oral Sci
September 2025
Department of Dental Research Cell, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, India.
The COVID-19 pandemic, particularly in India, continues to pose a major threat to public health owing to the large number of patients that remain affected. The second wave of COVID-19 has brought with it several opportunistic diseases caused by bacteria and fungi, including mucormycosis, which is a well-known fungal infection primarily encountered in immunocompromised individuals through inhalation. In recent times, mucormycosis has become increasingly common in COVID-19 patients, particularly those with comorbidities such as diabetes, and has been observed to induce secondary infections as it spreads with COVID-19 treatment.
View Article and Find Full Text PDFJB JS Open Access
September 2025
Division of Orthopedic Surgery, Department of Regenerative and Transplant Medicine, Niigata University Graduate School of Medical and Dental Science, Niigata, Japan.
Background: Lower extremity alignment in knee osteoarthritis (OA) is conventionally assessed using standing radiographs. However, symptoms often manifest during gait. Understanding dynamic alignment during gait may help characterize disease progression and inform treatment strategies.
View Article and Find Full Text PDF