AI-powered innovations shaping the future of dentistry

Title: AI-powered innovations shaping the future of dentistry

Abstract:

The integration of artificial intelligence (AI) into dental diagnostics and treatment planning marks a transformative era in modern dentistry. As patient expectations grow for precision and efficiency, AI emerges as a pivotal tool in enhancing clinical workflows, improving diagnostic accuracy, and personalising treatment strategies. Leveraging deep learning algorithms, AI can analyse complex dental imaging modalities, such as OPGs, Small Film X-rays, Cone Beam Computed Tomography (CBCT) and cephalometric X-rays, identifying pathologies and structural anomalies with unprecedented precision. This presentation explores the latest advancements in AI-driven dental technologies, focusing on automated diagnostic systems and predictive treatment planning. We discuss the emerging role of multimodal reasoning, where AI integrates radiographs, clinical photographs, and clinical notes to deliver richer, more detailed clinical insights. AI-powered intelligent triage systems can also efficiently channel patients to the most suitable clinicians, substantially reducing wait times. Furthermore, we explore how large language models facilitate rapid interpretation of extensive research data. These models quickly formulate hypotheses, address complex questions, and synthesise scientific literature, significantly accelerating dental research and decision-making processes. By combining advanced AI technologies with established dental expertise, there is significant potential to improve patient outcomes, promoting better oral health and overall quality of life. This presentation underscores the transformative capabilities of AI-driven precision dentistry and outlines a vision for the future of modern dental care.

Biography:

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.