

The use and applications of AI in oral surgery
Ai is a novel and rapidly uprising technique with applications in many fields of medicine besides daily applications. As a field of computer science it aims to create intelligent machines capable of performing tasks that typically require human intelligence. These tasks can include recognizing speech, making decisions, solving problems, playing games, and even translating languages. AI systems mimic human cognition and behaviour thud performing as tools for automating complex tasks
In oral and maxillofacial surgery, AI algorithms are used mostly for decision assistance in diagnosis and treatment prediction of outcomes. Also algorithms are used besides diagnosis in the perfection and idealization of surgical planning. Many algorithms are used for Impacted tooth detection and assessment of the relationship with surrounding anatomical structures such as the maxillary sinus, the delineation of the mandibular canal which can be performed using AI algorithms with a high success rate.. AI technology has also been employed for predicting postoperative facial swelling following tooth extraction predicting difficulty in surgical procedures. Besides those daily surgical procedures, algorithms have been used for the analysis of dental implants.
In the field of implantology, the models have shown high performance in detecting dental implants, implant fractures, and peri-implant bone loss on dental radiographs.
In the lecture examples of AI algorithms and their applications in Oral Surgery will be demonstrated and analysed.
Antigoni Delantoni, DDS, MSc, PhD, MD is a Professor at the Aristotle University of Thessaloniki, where she serves as faculty. She is agraduate of the Aristotle University, School of Dentistry, Thessaloniki, Greece (1998). Her post degree training includes a 2-yr internship in Oral Radiology (University of British Columbia, Canada 2002) from where she got the MSc title in Oral Radiology and Diagnostics and a 2-yr continuing education program in oral implantology (Greek German Dental Association, 2009). In addition, she has completed a doctoral degree (Aristotle University School of Dentistry, Thessaloniki, Greece 2007) and has graduated from medical school (Aristotle University School of Medicine, Thessaloniki, Greece (2008) . She has also finished a postdoctoral research degree with a full scholarship by the Greek State Scholarships foundation (2009) .
She is a member of the editorial board of several journals in her field and a reviewer for over 50 international journals including TripleO, Dentomaxillofacial Radiology, Rheumatology, The Cleft Palate Craniofacial Journal, Head & Face Medicine, Journal of Medicine and Medical Sciences, International Journal of Clinical Dentistry.
She has published numerous papers in Greek and English and has spoken in a large number of congresses nationally and internationally covering a variety of topics with main focus on oral radiology and maxillofacial imaging. She has edited two books for Springer Nature,’ Atlas of Dentomaxillofacial Anatomical Imaging’ and ‘Digital Dentistry An overview and future prospects’
Her main research interests are new imaging methods and digital imaging in dentistry.
The use and applications of AI in oral surgery
Ai is a novel and rapidly uprising technique with applications in many fields of medicine besides daily applications. As a field of computer science it aims to create intelligent machines capable of performing tasks that typically require human intelligence. These tasks can include recognizing speech, making decisions, solving problems, playing games, and even translating languages. AI systems mimic human cognition and behaviour thud performing as tools for automating complex tasks
In oral and maxillofacial surgery, AI algorithms are used mostly for decision assistance in diagnosis and treatment prediction of outcomes. Also algorithms are used besides diagnosis in the perfection and idealization of surgical planning. Many algorithms are used for Impacted tooth detection and assessment of the relationship with surrounding anatomical structures such as the maxillary sinus, the delineation of the mandibular canal which can be performed using AI algorithms with a high success rate.. AI technology has also been employed for predicting postoperative facial swelling following tooth extraction predicting difficulty in surgical procedures. Besides those daily surgical procedures, algorithms have been used for the analysis of dental implants.
In the field of implantology, the models have shown high performance in detecting dental implants, implant fractures, and peri-implant bone loss on dental radiographs.
In the lecture examples of AI algorithms and their applications in Oral Surgery will be demonstrated and analysed.
Antigoni Delantoni, DDS, MSc, PhD, MD is a Professor at the Aristotle University of Thessaloniki, where she serves as faculty. She is agraduate of the Aristotle University, School of Dentistry, Thessaloniki, Greece (1998). Her post degree training includes a 2-yr internship in Oral Radiology (University of British Columbia, Canada 2002) from where she got the MSc title in Oral Radiology and Diagnostics and a 2-yr continuing education program in oral implantology (Greek German Dental Association, 2009). In addition, she has completed a doctoral degree (Aristotle University School of Dentistry, Thessaloniki, Greece 2007) and has graduated from medical school (Aristotle University School of Medicine, Thessaloniki, Greece (2008) . She has also finished a postdoctoral research degree with a full scholarship by the Greek State Scholarships foundation (2009) .
She is a member of the editorial board of several journals in her field and a reviewer for over 50 international journals including TripleO, Dentomaxillofacial Radiology, Rheumatology, The Cleft Palate Craniofacial Journal, Head & Face Medicine, Journal of Medicine and Medical Sciences, International Journal of Clinical Dentistry.
She has published numerous papers in Greek and English and has spoken in a large number of congresses nationally and internationally covering a variety of topics with main focus on oral radiology and maxillofacial imaging. She has edited two books for Springer Nature,’ Atlas of Dentomaxillofacial Anatomical Imaging’ and ‘Digital Dentistry An overview and future prospects’
Her main research interests are new imaging methods and digital imaging in dentistry.
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