The risks of artificial intelligence: A narrative review and ethical reflection from an Oral Medicine group.

As a relatively new tool, the use of artificial intelligence (AI) in medicine and dentistry has the potential to significantly transform the healthcare sector. AI has already demonstrated efficacy in medical diagnosis across several specialties, used successfully to detect breast, lung and skin cancer. In Oral Medicine, AI may be applied in a similar fashion, used in the detection and diagnosis of oral cancers and oral potentially malignant diseases. Despite its promise as a transformative diagnostic aid, the use of AI in healthcare presents significant safety, reliability and ethical concerns. There is no formal consensus on the safe and ethical implementation of AI systems in healthcare settings, but the literature converges on several key principles of ethical AI use including transparency, justice and fairness, non-maleficence, responsibility and privacy. This article provides a narrative review of the key ethical issues surrounding AI use in medicine, and reflects on these, providing view-points of a bioethicist and Oral Medicine clinicians from several units.

Oral potentially malignant disorders - An assessment of knowledge and attitude to future education in undergraduate dental students.

INTRODUCTION: The aim of this study was to assess the knowledge and clinical experience of oral potentially malignant disorders (OPMDs) in undergraduate dental students in six European countries (Croatia, France, Italy, Portugal, Spain and United Kingdom) and assess student's attitude and preference to future education on the topic. A secondary aim was to identify gaps in student's knowledge and clinical practice. The study was a part of the Erasmus+ project "Oral Potentially Malignant Disorders: Healthcare Professionals Training" (Grant No: 2020-1-UK01-KA202-078917). MATERIALS AND METHODS: An online questionnaire was distributed to all final-year students in six partner universities. This consisted of four parts assessing: (1) knowledge on OPMDs, (2) clinical experience with this group of patients, (3) self-rated competence in the management of OPMDs and (4) preferences with regard to future education. RESULTS: Two hundred and sixty final-year dental students from six partner universities responded to the questionnaire. Response rates varied from 12% to 92% between partner universities. Significant differences in clinical experience and knowledge were found between students. Students with more clinical exposure to OPMDs rated their knowledge and competence in the management of OPMDs higher than students with less clinical experience. The majority of students were interested in future education on OPMDs, preferably via short educational videos. CONCLUSION: The majority of students have received theoretical knowledge of OPMDs during their undergraduate studies, however, not all had clinical exposure to this group of patients. Students were open to further education on OPMDs. Important deficiencies in knowledge were identified that need to be addressed and it is anticipated that the e-learning platform and e-book that are in development by partner institutions will help to improve overall knowledge of OPMDs.

Malignant Transformation Rate of Oral Submucous Fibrosis: A Systematic Review and Meta-Analysis.

Oral submucous fibrosis (OSF) is a chronic progressive condition affecting the oral cavity, oropharynx and upper third of the oesophagus. It is a potentially malignant disorder. The authors collated and analysed the existing literature to establish the overall malignant transformation rate (MTR). A retrospective analysis of medical and dental scientific literature using online indexed databases was conducted for the period 1956 to 2021. The quality of the enrolled studies was assessed by the Newcastle-Ottawa Scale (NOS). A meta-analysis using a random effects model of a single proportion was performed along with statistical tests for heterogeneity. The overall proportion of malignancy across all studies was 0.06 (95% CI, 0.02-0.10), indicating an overall 6% risk of malignant transformation across all studies and cohorts. Sub-group analyses revealed strong differences in proportion of malignancy according to ethnicity/cohort; Chinese = 0.02 (95% CI 0.01-0.02), Taiwanese = 0.06 (95% CI, 0.03-0.10), Indian = 0.08 (95% CI, 0.03-0.14) and Pakistani = 0.27 (95% CI 0.25-0.29). Overall, the MTR was 6%; however, wide heterogeneity of the included studies was noted. Geographic variations in MTR were noted but were not statistically significant. Further studies are required to analyse the difference between cohort groups.