Liu Yuansan, Wijewickrema Sudanthi, Copson Bridget, Gerard Jean-Marc, Antani Sameer
School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia.
Department of Surgery (Otolaryngology), University of Melbourne, Melbourne, Australia.
Proc IEEE Int Symp Comput Based Med Syst. 2025 Jun;2025:977-982. doi: 10.1109/cbms65348.2025.00195. Epub 2025 Jul 4.
Artificial intelligence (AI) is making significant advances toward becoming a well-established and promise-bearing technology in various medical domains such as screening, diagnostics, and biopharma research. However, its state remains relatively nascent in surgery and surgical therapeutics. This presents an opportunity for leveraging ongoing rapid advances in AI technology and the increasing availability of large, diverse datasets to pave the way for their use in these domains. Expanding the use of AI to include various processes in surgery-related workflows could provide several benefits, such as greater assurance for reduced errors, better assistance to surgeons, and overall improved patient outcomes. To encourage further research in surgical AI, this article summarizes the state-of-the-art in AI assurance in various aspects of a patient's timeline when undergoing head and neck surgeries, including diagnostics, preoperative considerations, intraoperative guidance, and postoperative and outcome predictions. The work aims to highlight gaps in the state-of-the-art and identify opportunities for the computer-based medical systems community to encourage future research and development on the subject.
人工智能（AI）在成为筛查、诊断和生物制药研究等各个医学领域中成熟且有前景的技术方面正取得重大进展。然而，其在手术和手术治疗领域的发展仍相对处于初期阶段。这为利用人工智能技术的持续快速进步以及日益丰富多样的大型数据集创造了契机，从而为其在这些领域的应用铺平道路。将人工智能的应用扩展到手术相关工作流程的各个环节可能会带来诸多益处，比如更可靠地减少错误、更好地协助外科医生以及全面改善患者预后。为鼓励对外科人工智能的进一步研究，本文总结了在患者接受头颈外科手术的各个阶段（包括诊断、术前考量、术中指导以及术后和预后预测）人工智能保障方面的最新进展。这项工作旨在突出当前技术水平的差距，并为基于计算机的医疗系统领域指明机遇，以鼓励未来针对该主题的研发。
