AI enhanced diagnostics for better patient care and communication

Title : AI enhanced diagnostics for better patient care and communication

Abstract:

Artificial Intelligence (AI) is rapidly transforming many areas of healthcare, and dentistry is at the forefront of adopting these technological advances to enhance patient care and the overall chairside experience. Recent studies show that patient expectations for AI-driven solutions are steadily increasing, and clinicians require tools that support accurate diagnosis, effective treatment planning, and the reduction of iatrogenic errors. AI-based dental applications now play a critical role in meeting these needs by helping reduce human factors such as fatigue, variability, and cognitive overload.

Across various imaging modalities, including CBCT, panoramic, periapical, bitewing, and cephalometric radiographs, AI systems enable clinicians to visualize anatomical structures with greater clarity, perform automated analyses and measurements, identify abnormalities and incidental findings, and generate personalized treatment recommendations. These capabilities improve diagnostic consistency and strengthen patient understanding of their oral health conditions.

This presentation explores the current landscape of AI in dentistry and demonstrates how state-of-the-art algorithms can reduce diagnostic inconsistencies, prevent unnecessary or inappropriate treatments, and support earlier and more accurate clinical decisions. It also examines emerging opportunities, future developments, and the challenges that must be addressed to ensure safe integration into daily practice.

By aligning advanced technology with patient-centered care, AI has the potential to transform communication, improve clinical outcomes, and elevate the overall standard of dental practice. This presentation highlights these innovations and their growing role in delivering more efficient, accurate, and communicative 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. 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.