DDS, Syrian Board in Orthodontics, Former instructor in Orthodontic Department Syrian Ministry of Health Private Practice, Damascus, Syrian Arab Republic
Do mandibular functional units exhibit inherent asymmetry in adults with a normal degree of chin deviation? A cone-beam computed tomography study Baraa Daraqel, Samer Mheissen, Li Cao, Dan Yang, Yumei Huang, Tianci Zhang, Leilei Zheng Scientific Reports, 2026 This study aimed to investigate the inherent asymmetry of mandibular functional units and to compare the degree of asymmetry between adults with different sagittal skeletal patterns. Ninety CBCTs scans of normodivergent adults with a normal degree of chin deviation, representing different sagittal skeletal patterns (Classes I, II, and III) were included; 30 each. Three-dimensional mandibular models were generated, and volumetric and linear bilateral measurements were obtained for the hemimandible and the condylar, coronoid, ramus, angular, alveolar, body, and chin units. The degree of asymmetry was presented using the asymmetry index (AI) and between groups measurements were compared using ANOVA test and GEE model. The mean AI values were significantly higher than 0% across all measurements for all sagittal skeletal patterns. Volumetric measurements yielded higher overall AI values than linear measurements (3.55 ± 3.6 vs 1.83 ± 1.74, P < 0.001). Negative and positive correlation values were found between mandibular units, thus supporting the theory of compensatory mechanism of the mandible. In all groups, the coronoid process volume and angular unit length exhibited the highest degree of asymmetry, whereas the total body length and hemimandibular volume showed the lowest. No significant differences were found in the AI of volumetric or linear measurements between sagittal skeletal patterns (P > 0.05). Mandibular functional units exhibited a degree of asymmetry in adults from different sagittal skeletal patterns. Clinical Relevance: This study quantifies the inherent asymmetry and compensatory mechanisms in mandibular functional units of adults with normal chin deviation.
Trial sequential analysis: A simple guide for judging the conclusiveness of the effect Samer Mheissen Journal of Orthodontics, 2025 Meta-analysis is a statistical method used in systematic reviews to provide a quantitative estimate of the effect. However, including very few studies and participants may increase the risk of spurious findings. Trial sequential analysis (TSA) has been introduced to enhance the robustness of meta-analysis. TSA is a cumulative meta-analysis method that weighs type I and II errors while estimating the effect. The application of TSA can lead to a more accurate estimation of the clinical effectiveness of the intervention. The aim of the present paper was to introduce the TSA to orthodontic clinicians and researchers using continuous data from an orthodontic systematic review.
Diagnostic accuracy of artificial intelligence for dental and occlusal parameters using standardized clinical photographs Matthew Vaughan, Samer Mheissen, Martyn Cobourne, Farooq Ahmed American Journal of Orthodontics and Dentofacial Orthopedics, 2025 INTRODUCTION: SmileMate (SmileMate, Dental Monitoring SAS, Paris, France) is an artificial intelligence (AI)-based Web site that uses intraoral photographs to assess patients' dental and orthodontic parameters and provide a report. This study aimed to investigate the ability of an AI assessment tool (SmileMate) for orthodontic and dental parameters. METHODS: A United Kingdom-based prospective clinical study enrolled 35 participants in the study. The participants' occlusal and dental parameters were assessed, and standardized orthodontic photographs were taken and uploaded to the SmileMate Web site to produce an AI-generated assessment. A total of 19 parameters were evaluated: 9 orthodontic parameters and 10 dental parameters covering both soft and hard tissues. A crosstabulation for AI and clinician assessments was reported using Fisher exact tests. Cohen's kappa was calculated to provide an agreement between the gold standard (clinician assessment) and SmileMate (AI assessment). Finally, the sensitivity, specificity, and area under the curve were calculated. RESULTS: Statistically significant differences between a direct in-person assessment and the SmileMate AI assessment were noted across 9 of the 19 parameters (P <0.05, Fisher exact test). The overall kappa value was fair (0.29), with a variety of agreements between AI and clinician assessments; the level of agreement ranged from poor in 2 parameters (lateral open bite and teeth fracture) to almost perfect for missing and retained teeth. The level of agreement ranged from slight to moderate for the other variables in this study. The overall sensitivity of the AI-generated assessments was 72%, and the specificity was 54%. The specificity of AI was very low for gingivitis and oral hygiene, indicating a very high probability of false-positive findings for those parameters. CONCLUSIONS: The overall agreement between SmileMate and the clinician's assessment was slight to moderate. AI-generated assessments are inadequate for evaluating malocclusion.
Authors’ response Baraa Daraqel, Khaled Wafaie, Hisham Mohammed, Li Cao, Samer Mheissen, Yang Liu, Leilei Zheng American Journal of Orthodontics and Dentofacial Orthopedics, 2024
The minimal important difference in orthodontic treatment duration: A survey across adult patients Samer Mheissen, Despina Koletsi, Aya Bassam Joria, Haris Khan, Fahad Alharbi, Vasiliki Koretsi, Zubair Hassan Awaisi, Rehan Qamar, Hassan Saeed, Yaser Ali Alrefaiy, Theodore Eliades, Gordon Guyatt European Journal of Orthodontics, 2024 Background The minimal important difference (MID) is defined as the smallest difference that the patient perceives as important. Furthermore, the smallest worthwhile effect (SWE) is the important change measured with the benefit-harm trade-off method. The aim of this study was to evaluate the MID in orthodontic treatment duration to inform the decision regarding seeking procedures to accelerate orthodontic tooth movement and reduce treatment duration. Methods We constructed a survey eliciting views of the MID from adult participants from four countries undergoing orthodontic treatment. Ten questions addressed reduction in the treatment duration for both durations 12 and 24 months, and four questions were related to the reduction in treatment duration that the patients would require to undergo surgical or non-surgical adjunctive procedures. We applied a univariable random effects logistic regression model to examine the association between the participants’ characteristics and the MID. Then, we fitted a multivariable logistic random effects regression including significant predictors. Results Four hundred and fifty adults, with a median age of 21 (interquartile range: 19–24), undergoing orthodontic treatment participated in the survey. Of the respondents, 60% considered 15 days as a trivial reduction from 12 months duration of therapy and 70% considered 15 days a trivial reduction from 24 months. Of the respondents, 48% considered the period of 2 months a moderate reduction from 12 months, and 60% considered 2 months a moderate reduction from 24 months. From these results, we inferred that patients considered reductions of approximately 1 month as the MID in the treatment duration for both 12 and 24 months. However, SWE was considerably more than the MID for most of the participants to decide undergoing surgical adjunctive procedures to reduce the time of therapy. The participants required smaller SWE to undergo non-surgical procedures compared to surgical procedures. Conclusion The MID in the treatment duration is one month for both treatment durations 12 and 24 months. Patients require a greater SWE than the MID to undergo adjunctive procedures to shorten the duration, particularly for surgical procedures.
Language bias in orthodontic systematic reviews: A meta-epidemiological study Samer Mheissen, Loukia M. Spineli, Baraa Daraqel, Ahmad Saleem Alsafadi Plos One, 2024 Background Orthodontic systematic reviews (SRs) include studies published mostly in English than non-English languages. Including only English studies in SRs may result in a language bias. This meta-epidemiological study aimed to evaluate the language bias impact on orthodontic SRs. Data source SRs published in high-impact orthodontic journals between 2017 and 2021 were retrieved through an electronic search of PubMed in June 2022. Additionally, Cochrane oral health group was searched for orthodontic systematic reviews published in the same period. Data collection and analysis Study selection and data extraction were performed by two authors. Multivariable logistic regression was implemented to explore the association of including non-English studies with the SRs characteristics. For the meta-epidemiological analysis, one meta-analysis from each SRs with at least three trials, including one non-English trial was extracted. The average difference in SMD was obtained using a random-effects meta-analysis. Results 174 SRs were included in this study. Almost one-quarter (n = 45/174, 26%) of these SRs included at least one non-English study. The association between SRs characteristics and including non-English studies was not statistically significant except for the restriction on language: the odds of including non-English studies reduced by 89% in SRs with a language restriction (OR: 0.11, 95%CI: 0.01 0.55, P< 0.01). Out of the sample, only fourteen meta-analyses were included in the meta-epidemiological analysis. The meta-epidemiological analysis revealed that non-English studies tended to overestimate the summary SMD by approximately 0.30, but this was not statistically significant when random-effects model was employed due to substantial statistical heterogeneity (ΔSMD = -0.29, 95%CI: -0.63 to 0.05, P = 0.37). As such, the overestimation of meta-analysis results by including non-English studies was statistically non-significant. Conclusion Language bias has non-negligible impact on the results of orthodontic SRs. Orthodontic systematic reviews should abstain from language restrictions and use sensitivity analysis to assess the impact of language on the conclusions, as non-English studies may have a lower quality.
Do mandibular functional units exhibit inherent asymmetry in adults with a normal degree of chin deviation? A cone-beam computed tomography study B Daraqel, S Mheissen, L Cao, D Yang, Y Huang, T Zhang, L Zheng Scientific Reports , 2026 2026
Beyond the algorithm potential: orthodontic tooth-extraction decisions in the age of AI: Orthodontics S Mheissen, C Flores-Mir Evidence-Based Dentistry, 1-2 , 2026 2026
Artificial intelligence as a tool for data extraction is not fully reliable compared to manual data extraction B Daraqel, A Owayda, H Khan, D Koletsi, S Mheissen Journal of dentistry 160, 105846 , 2025 2025 Citations: 12
A bright future for the American Journal of Orthodontics and Dentofacial Orthopedics and the American Journal of Orthodontics and Dentofacial Orthopedics Clinical Companion JH Park American Journal of Orthodontics and Dentofacial Orthopedics 167 (6), 623-625 , 2025 2025
Diagnostic accuracy of artificial intelligence for dental and occlusal parameters using standardized clinical photographs M Vaughan, S Mheissen, M Cobourne, F Ahmed American Journal of Orthodontics and Dentofacial Orthopedics 167 (6), 733-740 , 2025 2025 Citations: 14
Trial sequential analysis: A simple guide for judging the conclusiveness of the effect S Mheissen Journal of Orthodontics 52 (2), 205-212 , 2025 2025 Citations: 4
A Systematic Review a Day, Keeps the Reader Away! S Mheissen Journal of Orthodontics 51 (4), 424-427 , 2024 2024 Citations: 2
Unaccounted clustering assumptions still compromise inferences in cluster randomized trials in orthodontic research S Mheissen, H Khan, M Aldandan, D Koletsi Korean Journal of Orthodontics 54 (6), 374-391 , 2024 2024
Patients’ perceptions matter: Risk communication and psychosocial factors in orthodontics Y Zhao, X Shi, J Liu, R Huo, K Xia, Y Wang, G Zhu, W Lu, L Zhang, ... American Journal of Orthodontics and Dentofacial Orthopedics 166 (4), 393 … , 2024 2024 Citations: 7
Artificial intelligence models ingenerating responses to generalorthodontic questions: Comment Response B Daraqel, K Wafaie, H Mohammed, L Cao, S Mheissen, Y Liu, L Zheng AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS 166 (1), 4-5 , 2024 2024
ETHICS IN ORTHODONTICS GDA Ros, GEB Vallejo, RM Peloso, CM Gambardela-Tkacz, P Cotrin, ... American Journal of Orthodontics and Dentofacial Orthopedics , 2024 2024
The minimal important difference in orthodontic treatment duration: a survey across adult patients S Mheissen, D Koletsi, AB Joria, H Khan, F Alharbi, V Koretsi, ZH Awaisi, ... European Journal of Orthodontics 46 (3), cjae027 , 2024 2024 Citations: 4
The performance of artificial intelligence models in generating responses to general orthodontic questions: ChatGPT vs Google Bard B Daraqel, K Wafaie, H Mohammed, L Cao, S Mheissen, Y Liu, L Zheng American Journal of Orthodontics and Dentofacial Orthopedics 165 (6), 652-662 , 2024 2024 Citations: 83
Language bias in orthodontic systematic reviews: A meta-epidemiological study S Mheissen, LM Spineli, B Daraqel, AS Alsafadi Plos one 19 (4), e0300881 , 2024 2024 Citations: 11
The common retention practices among orthodontists from different countries M Almuzian, S Mheissen, H Khan, F Alharbi, EE Alzoubi, MB Wertheimer Turkish Journal of Orthodontics 37 (1), 22 , 2024 2024 Citations: 6
Do statistical heterogeneity methods impact the results of meta- analyses? A meta epidemiological study S Mheissen, H Khan, D Normando, N Vaiid, C Flores-Mir PLoS One 19 (3), e0298526 , 2024 2024 Citations: 9
The performance of artificial intelligence models in answering orthodontic questions B Daraqel, K Wafaie, H Mohammed, L Cao, S Mheissen, Y Liu, L Zheng 2024
Insufficient information size and potentially false results in orthodontic meta-analyses using trial sequential analysis S Mheissen, M Aldandan, H Khan European Journal of Orthodontics 45 (6), 802-807 , 2023 2023 Citations: 1
Are units of analysis properly considered in orthodontic meta-analyses? S Mheissen, B Daraqel, K Wafaie, H Khan European Journal of Orthodontics 45 (6), 795-801 , 2023 2023 Citations: 3
The effect of early versus delayed space closure on the rate of orthodontic tooth movement: a systematic review and meta-analysis B Daraqel, S Mheissen, J Li, H Khan, S Allan, L Zheng European Journal of Orthodontics 45 (6), 680-689 , 2023 2023 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
The performance of artificial intelligence models in generating responses to general orthodontic questions: ChatGPT vs Google Bard B Daraqel, K Wafaie, H Mohammed, L Cao, S Mheissen, Y Liu, L Zheng American Journal of Orthodontics and Dentofacial Orthopedics 165 (6), 652-662 , 2024 2024 Citations: 83
Bracket failure in orthodontic patients: the incidence and the influence of different factors H Khan, S Mheissen, A Iqbal, AR Jafri, MK Alam BioMed Research International 2022 (1), 5128870 , 2022 2022 Citations: 65
Is Piezocision effective in accelerating orthodontic tooth movement: A systematic review and meta-analysis S Mheissen, H Khan, S Samawi PLoS One 15 (4), e0231492 , 2020 2020 Citations: 47
The effectiveness of surgical adjunctive procedures in the acceleration of orthodontic tooth movement: A systematic review of systematic reviews and meta-analysis S Mheissen, H Khan, AS Alsafadi, M Almuzian Journal of Orthodontics 48 (2), 156-171 , 2021 2021 Citations: 36
The correlation between dental stages and skeletal maturity stages A Jourieh, H Khan, S Mheissen, M Assali, MK Alam BioMed research international 2021 (1), 9986498 , 2021 2021 Citations: 25
Diagnostic accuracy of artificial intelligence for dental and occlusal parameters using standardized clinical photographs M Vaughan, S Mheissen, M Cobourne, F Ahmed American Journal of Orthodontics and Dentofacial Orthopedics 167 (6), 733-740 , 2025 2025 Citations: 14
Limited evidence on differences between fixed appliances and clear aligners regarding pain level S Mheissen, H Khan, M Aldandan Evidence-Based Dentistry 21 (4), 144-145 , 2020 2020 Citations: 13
Artificial intelligence as a tool for data extraction is not fully reliable compared to manual data extraction B Daraqel, A Owayda, H Khan, D Koletsi, S Mheissen Journal of dentistry 160, 105846 , 2025 2025 Citations: 12
Evidence-based practice S Mheissen, H Khan Orthodontic Evidence: A Q&A Handbook, 1-11 , 2023 2023 Citations: 12
Language bias in orthodontic systematic reviews: A meta-epidemiological study S Mheissen, LM Spineli, B Daraqel, AS Alsafadi Plos one 19 (4), e0300881 , 2024 2024 Citations: 11
Do sample size calculations in longitudinal orthodontic trials use the advantages of this study design? S Mheissen, J Seehra, H Khan, N Pandis The Angle Orthodontist 92 (3), 402-408 , 2022 2022 Citations: 11
Effectiveness of platelet-rich concentrates on the rate of orthodontic tooth movement: a systematic review and meta-analysis S Mheissen, B Daraqel, EE Alzoubi, H Khan European Journal of Orthodontics 45 (2), 196-207 , 2023 2023 Citations: 10
Do statistical heterogeneity methods impact the results of meta- analyses? A meta epidemiological study S Mheissen, H Khan, D Normando, N Vaiid, C Flores-Mir PLoS One 19 (3), e0298526 , 2024 2024 Citations: 9
The effect of early versus delayed space closure on the rate of orthodontic tooth movement: a systematic review and meta-analysis B Daraqel, S Mheissen, J Li, H Khan, S Allan, L Zheng European Journal of Orthodontics 45 (6), 680-689 , 2023 2023 Citations: 8
Patients’ perceptions matter: Risk communication and psychosocial factors in orthodontics Y Zhao, X Shi, J Liu, R Huo, K Xia, Y Wang, G Zhu, W Lu, L Zhang, ... American Journal of Orthodontics and Dentofacial Orthopedics 166 (4), 393 … , 2024 2024 Citations: 7
Do longitudinal orthodontic trials use appropriate statistical analyses? A meta-epidemiological study S Mheissen, H Khan, M Almuzian, EE Alzoubi, N Pandis European Journal of Orthodontics 44 (3), 352-357 , 2022 2022 Citations: 7
The common retention practices among orthodontists from different countries M Almuzian, S Mheissen, H Khan, F Alharbi, EE Alzoubi, MB Wertheimer Turkish Journal of Orthodontics 37 (1), 22 , 2024 2024 Citations: 6
Global survey to assess preferences when attending virtual orthodontic learning sessions: optimising uptake from virtual lectures S Mheissen, M Almuzian, MB Wertheimer, H Khan Progress in Orthodontics 22 (1), 47 , 2021 2021 Citations: 5
Three-dimensional nasolabial changes after maxillary advancement osteotomy in class III individuals: a systematic review and meta-analysis M Almuzian, J Rowley, H Mohammed, MB Wertheimer, A Ulhaq, ... Evidence-Based Dentistry, 1-9 , 2021 2021 Citations: 5
Trial sequential analysis: A simple guide for judging the conclusiveness of the effect S Mheissen Journal of Orthodontics 52 (2), 205-212 , 2025 2025 Citations: 4