Core Viewpoint - Guangzhou Medical University Cancer Hospital is leveraging advanced robotic and minimally invasive surgical technologies to enhance cancer treatment outcomes while prioritizing patient quality of life [7][8][49]. Group 1: Robotic Surgery Innovations - The hospital has implemented the "fourth generation Da Vinci" robotic system for esophageal cancer surgeries, which has been shown to be more precise and efficient compared to traditional methods [33][35]. - The robotic-assisted surgeries have been performed on over 150 cases, with approximately 30 cases specifically for esophageal cancer, demonstrating the system's growing adoption [34][35]. - The surgery for a patient named Cai, who underwent robotic surgery for esophageal cancer, lasted less than 2 hours with minimal blood loss of less than 50 mL, significantly reducing recovery time and postoperative pain [44][51]. Group 2: Advanced Treatment Techniques - The TOMO system, a high-end radiotherapy device, combines spiral CT and linear accelerators, allowing for precise targeting of complex tumors while minimizing damage to surrounding healthy tissues [66][69]. - A patient named Wang received TOMO therapy for nasopharyngeal cancer, achieving complete tumor regression without significant side effects, allowing him to return to work shortly after treatment [74][75]. - The TOMO system's ability to cover long treatment areas in a single session addresses the challenges of traditional radiotherapy, which often requires multiple sessions and can lead to greater collateral damage [76][80]. Group 3: Patient-Centric Care - The hospital emphasizes a multidisciplinary approach to cancer treatment, ensuring personalized care plans that include nutritional support and psychological counseling [88][90]. - A case involving a patient named Li, who underwent a minimally invasive procedure for cervical cancer, highlights the hospital's commitment to preserving fertility while effectively treating cancer [102][119]. - The hospital plans to integrate robotic surgery and AI-assisted diagnostics to further enhance treatment precision and patient outcomes [125][126].