Australiasian_Dentistry_Issue_113

CATEGORY AUSTRALASIAN DENTIST103 ARTIFICIAL INTELLIGENCE progressive periodontal disease before the patient is symptomatic. ese are not futuristic possibilities. ey are capabilities that exist today, are deployed in practices across the world, and are already demonstrating measurable improvements in diagnostic yield. Why now? Timing matters in technology adoption. For AI in dental diagnostics, the conditions for meaningful impact are now well established. First, the data exists. Digital radiography has created an enormous amount of labelled imaging data, the raw material that machine learning systems require to be trained e ectively. Early AI systems in medicine struggled precisely because of data scarcity. at constraint is diminishing rapidly. Second, the algorithms have matured. Deep learning approaches to image recognition, re ned through applications in medical imaging, dermatology, and pathology, have now been applied speci cally to dental radiography with strong results. e technology has moved from proof of concept to clinical-grade performance. ird, the regulatory environment is catching up. Regulatory frameworks in Australia, the United States, Europe, and across the Asia-Paci c region are actively developing standards for AI as a medical device. is is creating the accountability structures that the profession needs to adopt these tools with con dence. What this means for clinicians e transition to intelligent dentistry does not require clinicians to become data scientists. It requires something more practical: a willingness to work alongside systems that see di erently than we do. AI does not get fatigued. It does not experience the cognitive load of a full appointment schedule. It applies the same analytical framework to the rst image of the day as it does to the last. is consistency is its primary clinical value, not replacing the clinician’s judgement, but reducing the noise around it. For the clinician, the practical bene t is straightforward. More consistent diagnosis means fewer missed ndings. Fewer missed ndings means earlier intervention. Earlier intervention means better patient outcomes and, in many cases, signi cantly reduced treatment complexity and cost. ere is also a medico-legal dimension that the profession is beginning to recognise. In an environment where diagnostic standards are increasingly scrutinised, having a documented AIassisted review process provides a layer of clinical transparency that bene ts both the practitioner and the patient. Setting the foundation is article is the rst in a series exploring the shift toward intelligent dentistry. Over the coming issues, we will examine the cognitive and practical limits of manual interpretation in more detail, use periodontal disease as a case study for where current diagnostic systems break down, explore the vast amounts of data dentistry is generating but not yet leveraging, and look ahead to what a fully integrated, AI-supported diagnostic work ow might look like. e profession is at an in ection point. Digital was the rst transformation. Intelligence is the second and in many ways, it is the more consequential one. Because the goal was never just to digitise dentistry. e goal was always to improve patient care. at is the promise of intelligent dentistry, and it is a promise that is now within reach. u About the authors Khoa Le is an AI engineer and the founder and CEO of Eyes of AI™, a Sydney-based health-tech company specialising in AIpowered dental diagnostics. Eyes of AI™ is deployed across 150+ countries and is integrated into global dental imaging systems. Dr Sen Le is a practising dentist, Chief Clinical O€icer and co-founder of Eyes of AI™. He brings direct clinical insight to the development and application of AI diagnostic tools in everyday dental practice. About Eyes of AI™ Eyes of AI™ is an Australian-founded MedTech company developing AI-powered tools to transform dental diagnostics and workflows. Its platform spans 2D and 3D imaging, including automated pathology detection, cephalometric analysis, and advanced CBCT segmentation. By combining clinical expertise with cu ing-edge artificial intelligence, Eyes of AI enables faster, more accurate, and scalable decision-making for dentists. The company works closely with leading institutions such as CSIRO Data61 and the University of Sydney, and partners with global manufacturers to integrate AI directly into clinical workflows. Its mission is to improve patient outcomes and expand access to high-quality dental care through intelligent, practical technology. amalgadent.com.au 1800 806 450 malgadent For simplified, reliable treatment. Meet the award winning TheraFamily e question is no longer whether AI belongs in dental diagnostics. It is how quickly practices can integrate it to bene t their patients. For your practice: AI-assisted diagnostics can improve consistency across your team, support less experienced clinicians with a reliable second opinion, and create a documented audit trail for complex cases.

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