Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing.

BACKGROUND: Artificial Intelligence, by answering questions about disease prevention strategies, can contribute to making diseases more treatable in their early stages. PURPOSE: This study aims to evaluate the quality of patient information by assessing the responses of the Chat Generative Pretrained Transformer (ChatGPT, Open AI, USA) artificial intelligence model to questions related to medication-related osteonecrosis of the jaw (MRONJ). STUDY DESIGN, SETTING, SAMPLE: The study was prospective cross-sectional design. The study was conducted within the Department of Oral and Maxillofacial Surgery. The study's questions were prepared by an experienced oral and maxillofacial surgeon and directed to the artificial intelligence platform. The responses were evaluated by oral and maxillofacial surgeons using the Global Quality Scale (GQS). PREDICTOR VARIABLE: The predictor variable is question type. A total of 120 questions were categorized into six groups, which encompassed general information about MRONJ (Group 1), queries from patients about to initiate medication therapy (Group 2), questions from patients currently undergoing medication treatment (Group 3), inquiries from patients who had completed medication usage (Group 4), general treatment-related information (Group 5), and case scenarios (Group 6). MAIN OUTCOME VARIABLES: The main variable is the GQS score. The GQS rates the quality of information and its utility for the patients. The scores are as follows: Score 1: Poor quality, Score 2: Generally poor quality, Score 3: Moderate quality, Score 4: Good quality, Score 5: Excellent quality. COVARIATES: Not applicable. ANALYSES: Kruskal-Wallis and Mann-Whitney U tests were applied for intragroup and intergroup analyses. The statistical significance level was determined as P < .05 and P < .01. RESULTS: The average score for all questions was calculated to be 3.9 ± 0.8, which is above the "moderate quality" threshold. Group 1 had a mean score of 3.4 ± 1.1; group 2 had 4.1 ± 0.7; group 3 had 3.8 ± 0.8; group 4 had 4.3 ± 0.6; group 5 had 4.2 ± 0.7; and group 6 had 4.1 ± 0.5. The variations in mean scores among these groups did not exhibit statistical significance (P > .05). CONCLUSION AND RELEVANCE: The artificial intelligence model has generated responses of moderate quality to questions about MRONJ. The use of the artificial intelligence platform may assist in patients gaining a fundamental understanding of MRONJ.

Dental Implant Corrosion Products May Accumulate in the Human Body.

BACKGROUND: Corrosion products resulting from the degradation of the dental implant surface due to biological fluids and infection may accumulate in the body and lead to clinical consequences. PURPOSE: The primary aim of this study is to measure the accumulation of dental implant corrosion products in the human body and the secondary aim is to estimate the association between corrosion products and fatigue. STUDY DESIGN, SETTING, SAMPLE: This study was designed as a prospective cross-sectional and was conducted with patients presenting at to the Department of Oral and Maxillofacial Surgery. The study included patients with Grade IV dental implants made of pure titanium (Ti) at the bone level and Grade V abutments composed of Ti, aluminum (Al), and vanadium (V). Individuals possessing different metallic implants and those prone to metal exposure were not included in the study. Blood and hair samples were procured from each participant and subsequently analyzed. PREDICTOR VARIABLES: The predictor variable is implant exposure, and it was divided into 3 groups; Group I, patients with healthy dental implants; Group II, patients with peri-implantitis; Control Group, individuals without dental implants. MAIN OUTCOME VARIABLES: The primary outcome variables are Al, Ti, V levels in blood and hair samples and the secondary outcome variable is the fatigue questionnaire score. COVARIATES: Age and gender, along with the dental implant number and duration of exposure within the study groups, are utilized as covariates. ANALYSES: Groups were compared using the Kruskal-Wallis and Mann-Whitney U-tests. Spearman's correlation coefficient determined relationships between groups, signifying significance with P values <.05. RESULTS: The sample consisted of 30 patients aged 18 to 68, with 53% being female and 47% male. The differences among the 3 groups in the median values of blood Ti, V; hair Al, Ti, V; and fatigue questionnaire scores were not statistically significant (P > .05). However, the median blood Al value was statistically higher in Group II (P < .05). CONCLUSIONS AND RELEVANCE: While the presence of healthy dental implants may not affect the accumulation of Al, Ti, and V within the body, patients with peri-implantitis exhibited elevated blood Al levels, possibly due to infection influencing the corrosion process.

The Association of Social Media Videos and Patients' Preoperative Anxiety.

BACKGROUND: Impacted tooth extraction is regarded as one of the dental procedures that induces the highest levels of dental anxiety. PURPOSE: The study purpose was to measure and compare anxiety levels in patients undergoing 3rd molar extraction between those who did or did not view videos related to 3rd molar operations. STUDY DESIGN, SETTING, AND SAMPLE: This prospective cohort study was conducted on patients who presented to the Department of Oral and Maxillofacial Surgery. The study included patients without any systemic comorbidities who had a indication for the extraction of impacted mandibular third molars. Patients who had previously undergone impacted tooth extractions were excluded from the study. PREDICTOR VARIABLES: The predictor variable was exposure to 3rd molar operation videos on social media. The subjects were grouped into categories; group 1, patients who watched videos and group 2, patients who did not watch videos. OUTCOME VARIABLES: The main outcome variables are state anxiety (S-anxiety) scores and trait anxiety (T-anxiety) scores. Anxiety scores were measured 1 week before the surgery and on the day of the surgery. COVARIATES: Age, sex, education level, and whether the video contained animated or real surgical images were used as covariates. ANALYSES: For normally distributed continuous variables, group means were compared using Student's t-test, while nonnormally distributed variables were compared using the Mann-Whitney U test. A P value of <.05 was considered statistically significant. RESULTS: The sample consisted of 60 patients, with 68.3% female and 31.7% male. In group 1, S-anxiety scores on the surgery day (44.8 ± 10.38) were higher than 1 week before (37.76 ± 8.92), and T-anxiety scores on the surgery day (78.23 ± 5.25) were higher than 1 week before (74.8 ± 5.54). In group 2, S-anxiety scores on the surgery day (35.9 ± 11.27) were higher than 1 week before (32.3 ± 9.53), and T-anxiety scores on the surgery day (79.16 ± 6.32) were higher than 1 week before (75.76 ± 5.55). S-anxiety scores of group 1 were statistically higher than group 2 in both conditions (P < .05), but there was no statistically significant difference between the groups in terms of T-anxiety scores (P > .05). CONCLUSION AND RELEVANCE: Watching videos before the operation may be associated with patients' anxiety levels.

HMGB-1, TLR4, IL-1R1, TNF-α, and IL-1ß: novel epilepsy markers?

The purpose of this study was to compare HMGB-1, TLR4, IL-1ß, IL-1R1, and TNF-α levels in patients with mild and severe epilepsy with those in a healthy control group. Children aged 4-17 years, diagnosed with epilepsy for at least three years and with no progressive neurological disease, metabolic disease or infection, were selected for the study. The severe epilepsy group consisted of 28 children with at least one episode a week despite receiving three or more antiepileptic drugs. The mild epilepsy group consisted of 29 children with no seizures in the previous year, receiving only one antiepileptic drug, while 27 healthy children were selected as the control group. HMGB-1, TLR4, IL-1R1, TNF-α and IL-1ß levels were investigated in these three groups. The MRI findings and clinical characteristics of the patients in the epilepsy group were also compared with these markers. HMGB-1, TLR4, TNF-α, and IL-1ß levels in the severe epilepsy group were higher than in the control group and the mild epilepsy group (p<0.05), and were higher in the mild epilepsy group than in the control group (p<0.05). IL-1R1 was also higher in the severe epilepsy group than in the control group (p<0.05). In this first report to identity a possible correlation between HMGB-1, TLR4, IL-1ß, IL-1R1, and TNF-α levels and severity of epilepsy, our data demonstrates that the serum level of these cytokines is higher in cases of drug-refractory epilepsy.