CATEGORY AUSTRALASIAN DENTIST 77 ARTIFICIAL INTELLIGENCE What augmentation changes This is the practical case for intelligent systems, and it is narrower and more useful than the idea of AI replacing dentists. Think of it as spell-check for radiographs, not autopilot: it flags what you might have missed. An AI system does not tire. It gives the last image of the day the same attention as the first, and it can compare bone levels across a full series, and over time, with a consistency no clinician can sustain across a busy week. At Eyes of AITM, that is precisely our focus: to identify periodontal disease earlier, by surfacing the subtle bone-level changes that are easy to overlook, and to screen more efficiently with less variability, by giving every image the same structured review. The clinician still decides. The system simply reduces the noise around that decision. Reframing the problem For too long, we have treated diagnostic variability as a problem of effort: more training, more care, more time. These help. But they cannot close a gap this wide. The question was never how hard we look. It is that we have been asking human eyes to do what no eye was built to do. Recognising that is not a criticism of the profession. It is the first honest step toward a dentistry that matches the images we now produce. 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 cutting-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 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. We have spent twenty years making the image sharper. The task now is to make it easier to understand, so that less disease is missed, and no clinician has to shoulder that burden alone. In our next article, we turn to the data behind those images: the vast clinical record dentistry generates every day, and how little of it we currently use. u References 1. Farman AG, Farman TT. A comparison of 18 different X-ray detectors currently used in dentistry. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2005;99(4):485-9. doi:10.1016/j. tripleo.2004.04.002. 2. Queiroz PM, Fardim KC, Costa AL, Matheus RA, Lopes SL. Texture analysis in cone-beam computed tomographic images of medicationrelated osteonecrosis of the jaw. Imaging Sci Dent. 2023;53(2):109-115. doi:10.5624/ isd.20220202. 3. Patel HB, Marwaha J, Hirani N, Suthar P, Arya A, Pandey N. Diagnostic accuracy and efficiency of AI-assisted radiographic interpretation compared to conventional methods in early detection of dental caries. J Pharm Bioallied Sci. 2025;17(Suppl 4):S3192-S3194. doi:10.4103/jpbs. jpbs_1278_25. 4. Ezhov M, Gusarev M, Golitsyna M, Yates JM, Kushnerev E, Tamimi D, et al. Clinically applicable artificial intelligence system for dental diagnosis with CBCT. Sci Rep. 2021;11(1):15006. doi:10.1038/s41598-021-94093-9. 5. Devlin H, Williams T, Graham J, Ashley M. The ADEPT study: a comparative study of dentists’ ability to detect enamel-only proximal caries in bitewing radiographs with and without the use of AssistDent artificial intelligence software. Br Dent J. 2021;231(8):481-5. doi:10.1038/s41415021-3526-6. 6. Krois J, Ekert T, Meinhold L, Golla T, Kharbot B, Wittemeier A, et al. Deep learning for the radiographic detection of periodontal bone loss. Sci Rep. 2019;9(1):8495. doi:10.1038/s41598019-44839-3. 7. Meusburger T, Wülk A, Kessler A, Heck K, Hickel R, Dujic H, et al. The detection of dental pathologies on periapical radiographs – results from a reliability study. J Clin Med. 2023;12(6):2224. doi:10.3390/jcm12062224. For your practice: Augmented screening is most valuable where manual reading is weakest: subtle, slow-moving, multi-site conditions such as periodontal disease. A consistent second read helps catch early findings and standardise interpretation across your team FOR SALE For more details contact us today www.practicesales.com.au | 1800 375 227 Modern Two-Surgery Dental Practice in High Growth Northern Gold Coast
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