Singh Narendra Nath, Tandon Ankita, Jayasankar Pavithra
Department of Oral Pathology, Microbiology, and Forensic Odontology, Dental Institute, RIMS, Ranchi, India.
J Oral Biol Craniofac Res. 2025 Sep-Oct;15(5):1057-1063. doi: 10.1016/j.jobcr.2025.07.013. Epub 2025 Jul 22.
Artificial intelligence (AI) is reshaping the landscape of oral cancer diagnosis through the analysis of digital imaging. By promoting early detection, enhancing diagnostic precision, and enabling personalised treatment approaches, AI holds the potential to significantly improve patient outcomes. However, it is important to carefully consider concerns related to bias, costs, data quality, and regulatory standards. Histopathology image analysis is critical for precise and early diagnosis, particularly cancer detection. It improves consistency, decreases subjectivity, and enables accurate assessment. Its combination with AI allows for faster diagnostics, remote consultations, sophisticated research, and personalised treatment methods, making it an essential tool in modern pathology and healthcare. To fully realise its promise in improving patient care and diagnostics for oral cancer, strategic investments, multidisciplinary cooperation, and strong regulatory frameworks are essential. This narrative review highlights the potential and challenges that lie ahead while advocating for a balanced approach that combines technical innovation with ethical and regulatory vigilance based on a comprehensive literature search and our team's personal experience.
人工智能（AI）正在通过数字成像分析重塑口腔癌诊断的格局。通过促进早期检测、提高诊断精度并实现个性化治疗方法，人工智能有潜力显著改善患者的治疗结果。然而，仔细考虑与偏差、成本、数据质量和监管标准相关的问题很重要。组织病理学图像分析对于精确和早期诊断至关重要，尤其是癌症检测。它提高了一致性，减少了主观性，并能够进行准确评估。它与人工智能的结合能够实现更快的诊断、远程会诊、深入研究和个性化治疗方法，使其成为现代病理学和医疗保健中的重要工具。为了充分实现其在改善口腔癌患者护理和诊断方面的前景，战略投资、多学科合作和强大的监管框架至关重要。这篇叙述性综述在基于全面的文献检索和我们团队的个人经验倡导将技术创新与道德和监管警惕相结合的平衡方法的同时，突出了未来的潜力和挑战。
