HONG KONG, July 17, 2024 /PRNewswire/ -- In June 2024, a surgical team led by Professor Richard Y. Su and Dr. Jane J. Pu from the Faculty of Dentistry at The University of Hong Kong, in collaboration with United Imaging Intelligence (UII), has achieved a groundbreaking AI-assisted oral and maxillofacial reconstructive surgery using uAI MERITS platform.

香港，2024年7月17日/PRNewswire/--2024年6月，由香港大学牙科学院的Richard Y.Su教授和Jane J.Pu博士领导的外科团队与联合成像智能（UII）合作，利用uAI-Mertives平台实现了开创性的人工智能辅助口腔颌面重建手术。

uAI MERITS platform, which stands for Metaverse Ecosystem for Robotic Intervention, Therapy, and Surgery, is powered by a large multimodal model for medicine.Overcoming Challenges in Oral and Maxillofacial Reconstructive Surgery .

uAI优点平台代表用于机器人干预，治疗和手术的Metaverse生态系统，由大型多模式医学模型提供支持。克服口腔颌面重建手术的挑战。

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Dr. Pu marks the perforator vessels for the fibula flap based on the projected 3D reconstructions of bones and vessels. The perforator vessels are visualized in purple.

Pu博士根据骨骼和血管的投影3D重建来标记腓骨瓣的穿支血管。穿孔血管以紫色显示。

The intraoperative use of uAI MERITS

术中使用uAI的优点

This surgery helped a patient who had lost part of her mandible due to cancer by successfully reconstructing the mandible and restoring normal aesthetics and functions. The surgery involved the transplantation of a free fibular flap from the patient's lower leg, which encompassed bone, and soft tissue, to reconstruct the missing mandible and oral mucosa.

这项手术通过成功重建下颌骨并恢复正常的美学和功能，帮助了一名因癌症而失去部分下颌骨的患者。手术包括从患者小腿移植游离腓骨瓣，其中包括骨骼和软组织，以重建缺失的下颌骨和口腔粘膜。

At the same time, dental implants were placed in the newly transplanted bone, restoring the patient's masticatory functions, anatomical structures, and facial aesthetics..

同时，将牙种植体植入新移植的骨骼中，恢复患者的咀嚼功能，解剖结构和面部美学。。

Maxillofacial reconstruction surgeries have been constrained by the complexity of anatomical structures, the high demands for aesthetics and functionality, and the necessity for surgical precision. In this case, the accurate identification and localization of perforator vessels within the soft tissue were pivotal to the success of mandibular reconstruction using a free fibula flap.In traditional approaches, it is imperative for surgeons to possess an exceptionally high-level of expertise and extensive surgical experience to minimize errors when localizing perforator vessels.

颌面重建手术受到解剖结构的复杂性，美学和功能的高要求以及手术精度的必要性的限制。在这种情况下，软组织内穿支血管的准确识别和定位对于使用游离腓骨瓣成功重建下颌骨至关重要。在传统方法中，外科医生必须拥有极高的专业知识和丰富的手术经验，以最大程度地减少穿支血管定位时的错误。

Historically, physicians have relied on auxiliary tools such as ultrasound to estimate the location of these perforator vessels, a method that often lacks precision and fails to achieve optimal surgical outcomes. Moreover, the surgical process demands a significant expenditure of time and effort from the surgeons, who must manually compare and delineate between conventional cross-sectional CT images and the surgical site.

从历史上看，医生依靠超声波等辅助工具来估计这些穿支血管的位置，这种方法通常缺乏精确度，无法达到最佳的手术效果。此外，手术过程需要外科医生花费大量的时间和精力，他们必须手动比较和描绘常规横断面CT图像和手术部位。

This process poses considerable challenges to the efficiency and accuracy of the surgery.AI-Assisted Oral and Maxillofacial Reconstructive Surgery Achieves Outstand Results For the first time, Professor Su's team successfully completed an oral and maxillofacial reconstructive surgery with the assistance of a large multimodal model for medicine.

这个过程对手术的效率和准确性提出了相当大的挑战。AI辅助的口腔颌面重建手术首次取得了突出的成果，苏教授的团队在大型多模式医学模型的帮助下成功完成了口腔颌面重建手术。

The innovation of this technology lies in its ability to address the clinical challenge of surgeons relying on empirical knowledge and best estimates to locate perforating vessels during free flap harvesting surgery. This solution is achieved through a robust, large-scale transformer model trained on a diverse array of medical images for precise segmentation preoperatively, and a large multimodal model for 3D image and video registration, pr.

这项技术的创新在于它能够解决外科医生依靠经验知识和最佳估计在游离皮瓣采集手术中定位穿孔血管的临床挑战。该解决方案是通过在各种医学图像上训练的强大的大规模变压器模型来实现的，用于术前精确分割，以及用于3D图像和视频配准的大型多模态模型pr。