The document discusses the integration of artificial intelligence (AI) in dental care, detailing its applications, benefits, and challenges. It covers various branches of AI, including machine learning and robotics, and highlights innovations like intraoral scanners and tele dentistry that improve diagnostic accuracy and patient management. The conclusion emphasizes that while AI can assist healthcare professionals by automating routine tasks, it cannot replace human expertise.

1. Artificial Intelligence and
Dental Care
Presented by:
• Nourhan Makhlouf
• Mohamed Goda
• Reem Sabry
• Marena Sameh
• Abd Alkareem Taha
Under-supervision
Dean: Prof. Dr. Rabab Mubarak
Assistant lecturer: Dr. Shimaa Kotb

2. outlines
• What is AI?
• Impact Of AI
• Branches of AI
• AI technology
• Application of AI in Dentistry
• Conclusion
• References

3. “Predicting
the future is
not a matter of
magic, its an
artificial
intelligence.”
Dave Waters

4. What is meant by
Artificial intelligence ?
technology that's
used to train the
machines to mimic
the intelligent of
human behavior
to perform a
specific task.

5. Artificial intelligence (AI)
AI represents a broad spectrum of emerging innovative technologies that are
becoming increasingly essential to everyday life.
The impact of application of artificial intelligence :
analysis of large datasets
providing reliable insights accuracy in detecting, evaluating, and predicting
diseases.
and enhancing the decision-making process.

6. Branches of AI
including:
• Machine learning (ML),
• Natural language process.
• Computer vision
• Robotics, and more.

7. “AI“ technologies
Driven by algorithms
sets of instructions, guide the computer’s
actions.
The most widely used algorithms in AI include:
Decision trees …………..for decision-making
Neural networks ……………………for pattern recognition,
Deep learning algorithms for tasks like image and speech
recognition.

8. “AI “in health
care divided into:
• Virtual type deals with mathematical algorithms.
• Robotic type supports the physical part of healthcare
systems.
• Examples of the technology which improved
dentistry:
• Intraoral scanner,
• 3D printers to create dentures,
• robotic surgery,
• virtual reality, and AI.

9. • pivotal force,
transforming
numerous
industries and
reshaping our
daily experiences.
Artificial Intelligence

10. Application of AI in Dentistry
Normal anatomy
Electronic
Dental record
Oral Medicine
,
Periodontolog
y
Cariology
Endodontics
Oral
Maxillofacial
surgery,
Implantology
Tele Dentistry

11. Identification of Normal
Anatomy
•“ Identify and segment the
anatomical structures are
now possible with AI-
generated algorithms in
dental radiographs,
particularly cone beam
computed tomography
(CBCT).

12. Electronic Record
Dental chart
AI can report the patient’s
status by performing tasks
such as:
Detecting and numbering
teeth,
Identifying dental
restorations,
Detecting pathologies in
dental radiographs.

13. Oral Medicine /
Oral Pathology
AI “deep neural networks” collecting
worldwide images data set of oral lesions to
aid in automatic lesion classification
algorithms.
AI aid in accurate diagnosis, screening and
predicting the recurrence rate in:
• Early detection of different oral lesions.
• Oral Cancer detection.
• Head & neck pre-cancer lesions
• Lichen planus

14. • Dental caries one of the most common
diseases in oral cavity.
• Early and accurate detection of dental caries
is crucial for appropriate treatment and
prevention of further complications.
• Using AI in caries detection offers several
potential benefits, including:
• improved accuracy,
• faster diagnosis,
• and minimize dependence on human
interpretation.
Cariology

15. Periodontology
AI used in :
• assessing gingivitis using intraoral
images,
• Estimating the progression of
periodontal disease using biomarker
data
• Detect alveolar bone loss, changes in
bone density,
• the classification of periodontal
stages on dental radiographs.

16. Endodontics
AI utilize for :
•identify periapical lesions.
•Crown and root fractures
•Working length
determination
•Detecting root canal
morphology

17. Oral and Maxillofacial
Surgery
• AI algorithms utilized for diagnosis,
treatment, prediction of outcomes
• preoperative surgical planning.
• Impacted tooth detection.
• Assessment the relationship with
surrounding anatomical structures
(such as the maxillary sinus, nasal
fossa, and mandibular canal).
• predicting postsurgical complication.

18. Dental Implantology
AI utilize in:
detection of various aspects
related to dental implants:
•Implant position
•Implant fractures
•and peri-implant bone loss.

19. Tele dentistry
• provision of dental care and education
through tele-communication platforms such
as:
• phones,
• computers,
• email,
• Help in remote diagnosis,
• Follow up
• and treatment advice.
• Tele dentistry becoming smarter and more
powerful tools used today.

20. Dental
Education
Visual
patient
simulator
Prosthetic
Dentistry
using
CAD-CAM
technolgy
Orthodontics.
-Analysis of
radiographs
movements
-3D aligners,
-treatment
plan
Forensic
Dentistry
Biological age,
gender,
Bite marks ,
mandibular
morphology
Dental
Radiology
Precise and
accurate
reading
Patient
management
virtual dental
assistance
, emergency
Tele-dentistry.
Application of AI in Dental Fields

21. The pros and cons of using AI
Pros
Reducing Human Error
Quick Decision Making
Reduce The Risk
Automates Repetition
Assist With Digital
Tasks
Cons
Higher overall costs
Human job losts
Lack creativity
Lack emotional
attitude
No Ethical principals

22. Conclusion
AI can decrease the strain on healthcare systems by taking over routine
tasks, freeing up clinicians to focus on more challenging cases.
AI not a replacement for human expertise, AI can only assist clinicians
in performing their tasks professionally.
Application of AI in medicine should always guided by ethical principles

23. References
• Schwendicke F, Samek W, Krois J. Artificial intelligence in dentistry: Chances and challenges. J
Dent Res 2020;99:769-74.
• Patil S, Albogami S, Hosmani J et al. Artificial Intelligence in the Diagnosis of Oral Diseases:
Applications and Pitfalls. Diagnostics (Basel) 2022; 12: 1029.
• Scott J, Biancardi AM, Jones O, Andrew D. Artifcial intelligence in periodontology: a scoping
review. Dent J (Basel). 2023;11:43.
• Hung KF, Yeung AWK, Bornstein MM, Schwendicke F. Personalized dental medicine, artifcial
intelligence, and their relevance for dentomaxillofacial imaging. Dentomaxillofac Radiol.
2023;52:20220335.
• Hussein Rafat Kotb, Shaimaa. ‘Perspective Chapter: Teledentistry and Distance Learning – Access
to Oral Health State during COVID-19’. Dentistry, IntechOpen, 14 June 2023. Crossref,
doi:10.5772/intechopen.107135.
• Mehrabanian, M. Artificial intelligence in dentistry. 2024;Br Dent J 236, 522.
https://doi.org/10.1038/s41415-024-7281-3.