| 英文摘要 |
Artificial intelligence (AI) is reshaping surgical oncology by enhancing precision, personalization, and efficiency across all phases of cancer care. Leveraging multimodal data—including imaging, intraoperative video, and electronic health records—AI supports preoperative planning through accurate tumor characterization and surgical mapping. Intraoperatively, computer vision enables real-time anatomical recognition, workflow navigation, improved safety and standardization. Postoperative monitoring benefits from predictive models that identify complications early and guide individualized follow-up. AI also revolutionizes telesurgery and surgical training, enabling remote mentorship, skill assessment, and adaptive simulations. Despite these advances, challenges remain, including data privacy, lack of standardization, algorithm interpretability, and regulatory ambiguity, which hinder widespread adoption. Looking ahead, AI is expected to evolve from a supportive tool into an integral member of the surgical team, augmenting clinical decision-making rather than replacing it. A collaborative effort is needed to responsibly integrate AI into the evolving landscape of oncologic surgery. |
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