Amir Fahimipour | The University of Sydney (original) (raw)

Papers by Amir Fahimipour

Acta Biomaterialia, 2021

3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objec... more 3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objects
ranging from plastic to metal. Recent advances in 3D and 4D printing technologies in dentistry and max-
illofacial surgery enable dentists to custom design and print surgical drill guides, temporary and perma-
nent crowns and bridges, orthodontic appliances and orthotics, implants, mouthguards for drug delivery.
In the present review, different 3D printing technologies available for use in dentistry are highlighted
together with a critique on the materials available for printing. Recent reports of the application of these
printed platformed are highlighted to enable readers appreciate the progress in 3D/4D printing in dentistry.

Arxive, 2021

3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objec... more 3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objects ranging from plastic to metal. Recent advances in 3D and 4D printing technologies in dentistry and maxillofacial surgery enable dentists to custom design and print surgical drill guides, temporary and permanent crowns and bridges, orthodontic appliances and orthotics, implants, mouthguards for drug delivery. In the present review, different 3D printing technologies available for use in dentistry are highlighted together with a critique on the materials available for printing. Recent reports of the application of these printed platformed are highlighted to enable readers appreciate the progress in 3D/4D printing in dentistry.

International Dental journal, 2021

Aim or Purpose: Tissue engineering is a process of renewal the damaged bone due to the repairing ... more Aim or Purpose: Tissue engineering is a process of renewal the damaged bone due to the repairing and healing process. The aim and objective of this study is to rule out which modern techniques will lead us towards precise bone regeneration.
Materials and Methods: Four database, including PubMed, Embase, Web of Science and Scopus were searched until April 2021, with the terms of ((((((3D printing) AND (4d printing)) OR (5d printing))) AND (materials)) AND (techniques)) AND (sur- gery). A total of 20 papers were included in the following study.
Results: Tissue grafted implants, allow surgeons to precisely form the defected, traumatized or cancerous sites owing to the treatment of patients in reconstructive surgeries. The pre- cision of bone implants due to recovery of deformity, modi- fied this method, from the range of diagnostics towards ultimate treatment plans, for the affected patients. Moreover, patients reveal less post-operative discomfort and expedited human tissue healing at the orthopaedic and oro-maxillofa- cial regions.
Conclusion: The latest techniques of 3D, 4D and recent 5D applications have shown favorable outcomes in tissue reha- bilitation. Based on the current study, these methods can sig- nificantly demonstrate higher success rate of bone and tissue implants.

Trends in Food Science and technology, 2021

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Open Access Research Journal, 2022

Bone drilling is considered crucial in the implantation process. However, the heat generated duri... more Bone drilling is considered crucial in the implantation process. However, the heat generated during the drilling can lead to thermal damage and osteonecrosis. Therefore, the primary aim of this study is to assess the literature related to the effect of heating during dental drilling and the factors responsible for heat generation during the drilling procedure.

Materials Chemistry Horizons, 2022

These days Ionic liquids (ILs) are getting more attention and catching more eyes based on numerou... more These days Ionic liquids (ILs) are getting more attention and catching more eyes based on numerous advantages they can offer, including low volatility, excellent thermal and chemical stability, easy handling, remarkable conductivity, and facile design. These riveting materials are formed via asymmetric cations and anions. They can mainly be found in a liquid state where temperatures are below 100 °C. Therefore, due to their unique features, they can be considered a perfect and desirable candidate in several fields, including electrochemical biosensors and detecting agents; they can play their roles as electrolytes. These unique features prompted us to present a precise and short review of the different fabrication methods of Ionic liquids. Herein, after a laconic description of ILs, a diverse range of fabrication methods was investigated, and a succinct description was given in each approach. Furthermore, where needed, some clear illustrations were used to boost apprehend. Perspectives, remarks, and challenges of different fabrication methods have been given, respectively.

European Dental Journal, 2023

Mucormycosis has a significant impact on patients' standard of living and, therefore, a high clin... more Mucormycosis has a significant impact on patients' standard of living and, therefore, a high clinical suspicion, prediagnosis, and rapid treatment are critical in easing patients' suffering and fast recovery. Our focus is to conduct an organized review based on various variables on the patients' characteristics having mucormycosis in severe novel coronavirus disease 2019 (COVID-19). We examined Embase, PubMed-Medline, LitCovid, Web of Science, Scopus, and the reference lists of included case reports up to September 20, 2021, using the Medical Subject Heading (MeSH) phrases and other keywords related to this topic. Subsequently, we investigated associated comorbidities, patient characteristics, position of mucormycosis, steroids use, body involvements, and outcomes. Overall, 77 studies were conducted and among these, 72 studies mentioned that the patients' age to be 48.13 AE 14.33 (mean AE standard deviation [SD]) years. Diabetes mellitus (DM) was reported in 77.9% (n ¼ 60) of cases. Studies showed that central nervous system (CNS) and bone involvement were reported in 62.3 (n ¼ 48) and 53.2% (n ¼ 41), respectively. More fatalities were observed in patients with mucormycosis with the active form of COVID-19. Also, men infected with mucormycosis significantly affected by COVID-19. In the end, mortality was higher in males with mucormycosis. As a result, a solid investigation into the root cause of mucormycosis, especially in COVID-19, should be included in the study plan. If the patient is COVID-19-positive and immunosuppressed, this opportunistic pathogen diagnostic test should not be overlooked.

The Saudi Dental Journal, 2024

In this study, we conducted a meta-analysis and systematic review to evaluate the accuracy of ML ... more In this study, we conducted a meta-analysis and systematic review to evaluate the accuracy of ML software for detecting and predicting anatomical landmarks on two-dimensional (2D) lateral cephalometric images. The meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for selecting and screening research articles. The eligibility criteria were established based on the diagnostic accuracy and prediction of ML combined with 2D lateral cephalometric imagery. The search was conducted among English articles in five databases, and data were managed using Review Manager software (v. 5.0). Quality assessment was performed using the diagnostic accuracy studies (QUADAS-2) tool. Result: Summary measurements included the mean departure from the 1-4-mm threshold or the percentage of landmarks identified within this threshold with a 95% confidence interval (CI). This meta-analysis included 21 of 577 articles initially collected on the accuracy of ML algorithms for detecting and predicting anatomical landmarks. The studies were conducted in various regions of the world, and 20 of the studies employed convolutional neural networks (CNNs) for detecting cephalometric landmarks. The pooled successful detection rates for the 1-mm, 2-mm, 2.5-mm, 3mm, and 4-mm ranges were 65%, 81%, 86%, 91%, and 96%, respectively. Heterogeneity was determined using the random effect model. Conclusion: In conclusion, ML has shown promise for landmark detection in 2D cephalometric imagery, although the accuracy has varied among studies and clinicians. Consequently, more research is required to determine its effectiveness and reliability in clinical settings.

Clinical and Experimental Dental Research, 2024

Objectives: The aim of this article is to establish a comprehensive nationwide prevalence of malo... more Objectives: The aim of this article is to establish a comprehensive nationwide prevalence of malocclusion traits on the sagittal, vertical, and transverse planes of space in the Turkish population. Material and Methods: A systematic search of PubMed, Scopus, and Web of Science was supplemented by manual searches of Google Scholar and the reference lists of included studies. Original Turkish health studies of any age were included. Strengthening the Reporting of Observational Studies in Epidemiology assessed study quality and bias (STROBE). Sagittal, vertical, and transverse malocclusion features were retrieved and gathered. Results: Eleven studies were selected from 434 titles. Two studies showed a high risk of bias, eight low and one moderate. Thirteen thousand two hundred seventyone individuals were investigated from early childhood to late adulthood. Most studies were sampled from universities and dental (nonorthodontic) clinics. The pooled malocclusion prevalence was 56% for Class I (95% confidence interval (CI): 44−68%), 31% for Class II (CI: 6-42%), and 11% for Class III (CI: 21-37%). The other common types of malocclusions were crowding (41%, CI: 18-65%), overjet (34%, CI: 21-50%), negative overjet (13%, CI: 7-20%), and crossbite (11%, CI: 7-15%). Additionally, there was no significant difference in Class I (relative risk [RR] = 1.00, [0.96-1.05]), Class II ([RR] = 0.97, [0.92-1.03]), and Class III ([RR] = 1.08, [0.96-1.225]) malocclusion by gender. Conclusions: This study showed Class I malocclusion has a high prevalence among the Turkish population followed by Class II and Class III malocclusions. In addition, crowding and overjet were the most prevalent malocclusions among Turkish individuals. There were no significant differences in the prevalence of malocclusions between males and females.

Advances in Artificial Intelligence and Machine Learning, 2024

Introduction. The accurate prediction of mandibular bone growth is crucial in orthodontics and ma... more Introduction. The accurate prediction of mandibular bone growth is crucial in orthodontics and maxillofacial surgery, impacting treatment planning and patient outcomes. Traditional methods often fall short due to their reliance on linear models and clinician expertise, which are prone to human error and variability. Artificial intelligence (AI) and machine learning (ML) offer advanced alternatives, capable of processing complex datasets to provide more accurate predictions. This systematic review examines the efficacy of AI and ML models in predicting mandibular growth compared to traditional methods. Method. AsystematicreviewwasconductedfollowingthePRISMAguidelines,focusingon studies published up to July 2024. Databases searched included PubMed, Embase, Scopus, and Web of Science. Studies were selected based on their use of AI and ML algorithms for predicting mandibular growth. A total of 31 studies were identified, with 6 meeting the inclusion criteria. Data were extracted on study characteristics, AI models used, and prediction accuracy. The risk of bias was assessed using the QUADAS-2 tool. Results. The review found that AI and ML models generally provided high accuracy in predicting mandibular growth. For instance, the LASSO model achieved an average error of 1.41 mm for predicting skeletal landmarks. However, not all AI models outperformed traditional methods; in some cases, deep learning models were less accurate than conventional growth prediction models. Discussion. The variability in datasets and study designs across the included studies posed challenges for comparing AI models’ effectiveness. Additionally, the complexity of AI models may limit their clinical applicability. Despite these challenges, AI and ML show significant promise in enhancing predictive accuracy for mandibular growth. Conclusion. AI and ML models have the potential to revolutionize mandibular growth prediction, offering greater accuracy and reliability than traditional methods. However, further research is needed to standardize methodologies, expand datasets, and improve model interpretability for clinical integration.

Imaging Science in Dentistry 2024

Purpose: Recent advancements in artificial intelligence (AI), particularly tools such as ChatGPT ... more Purpose: Recent advancements in artificial intelligence (AI), particularly tools such as ChatGPT developed by OpenAI, a U.S.-based AI research organization, have transformed the healthcare and education sectors. This study investigated the effectiveness of ChatGPT in answering dentistry exam questions, demonstrating its potential to enhance professional practice and patient care. Materials and Methods: This study assessed the performance of ChatGPT 3.5 and 4 on U.S. dental examsspecifically, the Integrated National Board Dental Examination (INBDE), Dental Admission Test (DAT), and Advanced Dental Admission Test (ADAT)-excluding image-based questions. Using customized prompts, ChatGPT's answers were evaluated against official answer sheets. Results: ChatGPT 3.5 and 4 were tested with 253 questions from the INBDE, ADAT, and DAT exams. For the INBDE, both versions achieved 80% accuracy in knowledge-based questions and 66-69% in case history questions. In ADAT, they scored 66-83% in knowledge-based and 76% in case history questions. ChatGPT 4 excelled on the DAT, with 94% accuracy in knowledge-based questions, 57% in mathematical analysis items, and 100% in comprehension questions, surpassing ChatGPT 3.5's rates of 83%, 31%, and 82%, respectively. The difference was significant for knowledge-based questions (P = 0.009). Both versions showed similar patterns in incorrect responses. Conclusion: Both ChatGPT 3.5 and 4 effectively handled knowledge-based, case history, and comprehension questions, with ChatGPT 4 being more reliable and surpassing the performance of 3.5. ChatGPT 4's perfect score in comprehension questions underscores its trainability in specific subjects. However, both versions exhibited weaker performance in mathematical analysis, suggesting this as an area for improvement.

$Research paper thumbnail of Evaluation of deep learning and convolutional neural network algorithms for mandibular fracture detection using radiographic images: A systematic review and meta-analysis$

re detection using radiograph, 2024

Purpose: The use of artificial intelligence (AI) and deep learning algorithms in dentistry, espec... more Purpose: The use of artificial intelligence (AI) and deep learning algorithms in dentistry, especially for processing
radiographic images, has markedly increased. However, detailed information remains limited regarding the accuracy
of these algorithms in detecting mandibular fractures.
Materials and Methods: This meta-analysis was conducted in accordance with the Preferred Reporting Items for
Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Specific keywords were generated regarding the
accuracy of AI algorithms in detecting mandibular fractures on radiographic images. Then, the PubMed/Medline,
Scopus, Embase, and Web of Science databases were searched. The Quality Assessment of Diagnostic Accuracy
Studies 2 (QUADAS-2) tool was employed to evaluate potential bias in the selected studies. A pooled analysis of the
relevant parameters was conducted using STATA version 17 (StataCorp, College Station, TX, USA), utilizing the
metandi command.
Results: Of the 49 studies reviewed, 5 met the inclusion criteria. All of the selected studies utilized convolutional
neural network algorithms, albeit with varying backbone structures, and all evaluated panoramic radiography images.
The pooled analysis yielded a sensitivity of 0.971 (95% confidence interval [CI]: 0.881-0.949), a specificity of 0.813
(95% CI: 0.797-0.824), and a diagnostic odds ratio of 7.109 (95% CI: 5.27-8.913).
Conclusion: This review suggests that deep learning algorithms show potential for detecting mandibular fractures on
panoramic radiography images. However, their effectiveness is currently limited by the small size and narrow scope of
available datasets. Further research with larger and more diverse datasets is crucial to verify the accuracy of these tools
in in practical dental settings.

Australian Dental Journal, 2024

Background: This study evaluates the mechanical properties of dental crown prosthodontic material... more Background: This study evaluates the mechanical properties of dental crown prosthodontic materials by investigating the flexural strength and stress distribution of various ceramic materials, including milled zirconia and two ceramics fabricated using LCM technology, employing Finite Element Analysis (FEA). Methods: Seventy-five samples were divided into five groups: milled zirconia, Zirconia-210, Zirconia-230, Alumina-350 and Alumina-500. Flexural strength tests, including three-point bending, Weibull analysis and FEA, were conducted to analyse stress distribution. Data were evaluated using one-way ANOVA and Tukey's test. Results: 3D-printed zirconia showed superior flexural strength compared to milled zirconia and alumina. Zirconia-210 had the highest flexural strength (886.35 MPa), while Alumina-350 had the lowest (424.49 MPa). Alumina-350 exhibited higher von Mises stress (25.77 MPa) than the control group (22.83 MPa), whereas Alumina-500 had the lowest stress (22.65 MPa). Zirconia models showed a slight increase in von Mises strain, while alumina models showed a decrease compared to the control. Conclusion: Our study found that 3D-printed zirconia displayed higher flexural strength when compared to milled zirconia and alumina. Moreover, there were noticeable variations in stress levels and strain behaviours observed in the materials.

Acta Biomaterialia, 2020

3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objec... more 3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objects ranging from plastic to metal. Recent advances in 3D and 4D printing technologies in dentistry and maxillofacial surgery enable dentists to custom design and print surgical drill guides, temporary and permanent crowns and bridges, orthodontic appliances and orthotics, implants, mouthguards for drug delivery. In the present review, different 3D printing technologies available for use in dentistry are highlighted together with a critique on the materials available for printing. Recent reports of the application of these printed platformed are highlighted to enable readers appreciate the progress in 3D/4D printing in dentistry.

Authors:
Danial Khorsandi 1, Amir Fahimipour 2, Payam Abasian 3, Sepehr Sadeghpour Saber 4, Mahla Seyedi 5, Sonya Ghanavati 6, Amir Ahmad 4, Andrea Amoretti De Stephanis 4, Fatemeh Taghavinezhaddilami 4, Anna Leonova 7, Reza Mohammadinejad 8, Majid Shabani 9, Barbara Mazzolai 10, Virgilio Mattoli 10, Franklin R Tay 11, Pooyan Makvandi 12

EC Dental, 2018

3D printing has been admired as a cutting-edge technology, which will change manufacturing [1]. ... more 3D printing has been admired as a cutting-edge technology, which will change manufacturing [1]. Recent advances in bioprinting technologies have enabled rapid manufacturing of medical models in many fields and areas. Recently in the field of dentistry, fused deposition modeling and Stereolithography 3D bioprinting techniques have been using in dental applications such as implants, the production of physical models for prosthodontics, orthodontics, and surgery [2,3]. This paper reviews the usage of fused deposition modeling and stereolithography 3D printing technologies and their various applications in dentistry and in maxillofacial surgery. 3D printing is transforming digital dentistry by extensively penetrating opportunities in diagnosis, treatment and education. The accel- erated research in this industry and optimism would open more doors to help revolutionize digital dentistry.

Keywords: Fused Deposition Modeling (FDM); Stereolithography (SLA); 3D Printing; Dentistry, Dental Devices

Acta Biomaterialia, 2021

Arxive, 2021

3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objec... more 3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objects ranging from plastic to metal. Recent advances in 3D and 4D printing technologies in dentistry and maxillofacial surgery enable dentists to custom design and print surgical drill guides, temporary and permanent crowns and bridges, orthodontic appliances and orthotics, implants, mouthguards for drug delivery. In the present review, different 3D printing technologies available for use in dentistry are highlighted together with a critique on the materials available for printing. Recent reports of the application of these printed platformed are highlighted to enable readers appreciate the progress in 3D/4D printing in dentistry.

International Dental journal, 2021

Trends in Food Science and technology, 2021

Open Access Research Journal, 2022

Materials Chemistry Horizons, 2022

European Dental Journal, 2023

The Saudi Dental Journal, 2024

Clinical and Experimental Dental Research, 2024

Advances in Artificial Intelligence and Machine Learning, 2024

Imaging Science in Dentistry 2024

re detection using radiograph, 2024

Australian Dental Journal, 2024

Acta Biomaterialia, 2020

3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objec... more 3D and 4D printing are cutting-edge technologies for precise and expedited manufacturing of objects ranging from plastic to metal. Recent advances in 3D and 4D printing technologies in dentistry and maxillofacial surgery enable dentists to custom design and print surgical drill guides, temporary and permanent crowns and bridges, orthodontic appliances and orthotics, implants, mouthguards for drug delivery. In the present review, different 3D printing technologies available for use in dentistry are highlighted together with a critique on the materials available for printing. Recent reports of the application of these printed platformed are highlighted to enable readers appreciate the progress in 3D/4D printing in dentistry.

EC Dental, 2018

Keywords: Fused Deposition Modeling (FDM); Stereolithography (SLA); 3D Printing; Dentistry, Dental Devices