HYBRID EVENT: You can participate in person at Rome, Italy or Virtually from your home or work.

10th Edition of International Conference on
Dentistry and Oral Health

March 13-15, 2025 | Rome, Italy
Dental 2024

Pioneering the world's most comprehensive detection technology for the craniomaxillofacial region with the use of Artificial Intelligence

Khoa Le, Speaker at Dental Conferences
Eyes of AI, Australia
Title : Pioneering the world's most comprehensive detection technology for the craniomaxillofacial region with the use of Artificial Intelligence


The dental industry is faced with a growing number of challenges such as a lack of skilled labour (particularly in rural and remote regions), increasing caseloads and lack of time to analyse and diagnose x-rays accurately and comprehensively. Existing software provides very little to no assistance to dental clinicians with the industry facing growing pressure to address the increasing health costs and increasing burden of diseases related to dental health problems. The presentation will address the pain points clinicians currently face and show how leveraging the power of Artificial Intelligence (AI) can help meet the diagnostic and treatment planning needs that are currently unmet in the dental industry. We will discuss how next generation technology provides automated identification of anatomical structures and pathological lesions on x-rays which is highly effective in reducing the time needed to reach a comprehensive diagnosis, while minimising the chances of errors and medico-legal repercussions. These benefits extend to radiologists, dentists, periodontists, surgeons, and other dental professionals. According to research, dental professionals can fail to detect as much as 49% of diseases in panoramic x-rays with detection rates lower in Cone Beam CT (CBCT) images. By generating 3D segmented objects, the jointly developed technology can now assist clinicians and radiologists in making more accurate diagnoses by visualising anatomical structures and identifying pathologies. We will showcase in an exclusive presentation the world's most comprehensive detection technology for the craniomaxillofacial region, detecting and segmenting over 135 delineations on the CBCT, compared to the industry standard of fewer than 40.

Audience Take Away:

  • The presentation will show how AI can have a significant impact on the dental industry by providing dental professionals with a more detailed and meaningful way of visualizing anatomy and pathology on X-rays.
  • The audience will be able to see how AI can provide automatic measurements to aid in treatment planning which reduces the time required to reach a diagnosis and plan treatment appropriately. The automation of manual processes and the ability to analyze a large amount of data using AI can lead to improved diagnostic decisions, patient care and increased productivity.

The following are just some examples of how AI technology can impact the dental industry -

  • Root canal treatment is a highly technical procedure that involves treating the internal chamber of a tooth that is normally covered by the hard tissue of the teeth, i.e., enamel and dentine. AI technology enables clinicians to visualise this internal chamber where the pulp of the tooth resides in three dimensions, allowing for a new level of precision as well as reducing treatment times.
  • The technology also addresses the challenges dental surgeons encounter in visualising the surgical site caused by overlying tissue. This is made possible by enabling the manipulation and the removal of these structures. Surgeons will now have complete oversight of all surgical structures and their relativeness to each other, thus enabling safer and more efficient surgical procedures. 
  • Early detection of pathology allows for early treatment, leading to a significant impact on reducing morbidity and mortality rates. Using AI, automatic detection of pathology will assist clinicians to provide optimal patient care by reducing missed and misdiagnosis.
  • In addition to dental clinicians, the technology will also have use in other related industries such as radiology centres, Original Equipment Manufacturers (OEMs), dental corporations, public health organisations, dental education institutions and in patient education.


Khoa Le is a seasoned Machine Learning Specialist, with over two decades of experience in quantitative analysis, advanced computational analytics, Artificial Intelligence (AI), and Machine Learning (ML). His expertise spans a wide range of domains such as supervised and unsupervised machine learning, reinforcement learning, computer vision, natural language processing, and deep learning. Backed by a solid academic background, Khoa holds a Bachelor's degree in Actuarial Studies and Commerce, as well as a Masters in Finance from the prestigious Australian National. Commencing his journey in 2007, Khoa has excelled in creating state-of-the-art machine learning algorithms, specially tailored for various sectors including finance and healthcare, with a particular emphasis on enhancing the accuracy and efficiency of computer vision systems for X-ray analysis.