From M6 to CyberKnife S7 | A Comprehensive System Upgrade Ushers in a New Era of Precision Radiotherapy

A new chapter in precision radiotherapy begins! In October 2026, Jinshazhou Hospital of Guangzhou University of Chinese Medicine completed a comprehensive upgrade from the CyberKnife M6 to the CyberKnife S7 system. Equipped with the VOLO automated optimization engine, the upgraded system offers cancer patients from China and abroad more efficient, precise, and noninvasive robotic stereotactic radiosurgery and stereotactic body radiation therapy (SRS/SBRT).

Figure 1: CyberKnife model

CyberKnife, often described as a “robotic radiosurgery system,” is an advanced stereotactic radiosurgery platform. Equipped with a high-precision six-axis robotic arm, it delivers radiation from multiple directions around the target with submillimeter precision (±0.06 mm isocentric accuracy). Its proprietary real-time image tracking technology continuously monitors tumor movement during treatment and automatically adjusts beam targeting to compensate for respiratory motion and changes in patient positioning, ensuring that radiation remains precisely focused on the tumor.
CyberKnife can treat solid tumors in various parts of the body and is particularly suitable for patients who cannot tolerate conventional surgery or whose tumors are located near critical organs. Treatment typically requires only 1–5 radiation sessions, offering the therapeutic benefits of noninvasive stereotactic radiosurgery.
The VOLO automated optimization engine serves as the “intelligent brain” of the CyberKnife S7 system. Using advanced inverse optimization algorithms, together with the Accuray Precision treatment planning system and the iDMS data management platform, it transforms the entire workflow of radiotherapy planning and delivery, enabling intelligent treatment plan generation and streamlined plan management.

15 Minutes to Generate a Personalized Radiotherapy Plan

Conventional radiotherapy planning often requires several hours of repeated manual adjustments. With the VOLO intelligent optimization algorithm integrated into the CyberKnife S7 system, treatment plans can be generated automatically. The system can produce a high-quality, individualized radiotherapy plan in as little as 15 minutes, increasing planning optimization speed by up to 90%. This significantly reduces treatment plan turnaround times, helping patients with serious malignancies gain valuable time to initiate treatment.

15 Minutes to Complete Precision Radiation Delivery

The upgraded CyberKnife S7 system optimizes robotic beam delivery paths and incorporates Synchrony® AI real-time tumor tracking technology to continuously detect tumor displacement caused by respiration. Radiation delivery during a single stereotactic radiotherapy session can be completed in as little as 15 minutes, substantially reducing treatment time, minimizing discomfort from prolonged positioning on the treatment table, and improving the overall patient experience.
The CyberKnife S7 system can integrate multiple complex factors into treatment planning, including tumor shape, respiratory motion, and the protection of surrounding healthy organs, to automatically generate an optimized radiotherapy plan. By targeting lesions with submillimeter precision while maximizing the protection of surrounding normal tissues, the system further expands the clinical applications of stereotactic radiosurgery and radiation therapy for tumors throughout the body.

Figure 2: Photograph of the CyberKnife system

Jinshazhou Hospital of Guangzhou University of Chinese Medicine is now equipped with a range of advanced radiotherapy systems, including the upgraded CyberKnife S7 system, TOMO helical tomotherapy, and Ethos adaptive radiotherapy, establishing a comprehensive platform offering multiple precision radiotherapy modalities. The upgrade from CyberKnife M6 to CyberKnife S7 marks a significant advancement in the hospital's overall capabilities in intelligent radiotherapy. As one of the hospital's key oncology departments, the International Oncology Diagnosis and Treatment Center draws on the strengths of integrating traditional Chinese and Western medicine to provide patients worldwide with noninvasive, efficient radiation therapy services that meet international standards.

The Center follows a multidisciplinary approach, bringing together specialists in medical oncology, surgical oncology, radiation oncology, traditional Chinese medicine, diagnostic imaging, and clinical nutrition. Supported by comprehensive patient coordination services, the Center accepts medical records from overseas patients for preliminary remote assessment and helps coordinate each stage of the patient's care, reducing geographical barriers to treatment. Individualized, comprehensive assessments are provided for patients from different regions and with varying clinical conditions. Alongside precise tumor targeting using advanced radiosurgical technologies, the Center incorporates individualized traditional Chinese medicine treatments based on syndrome differentiation, with the aim of alleviating radiotherapy-related adverse effects and helping modulate immune function. This integrated approach addresses both local tumor control and overall physical well-being, expanding treatment options for patients with complex or difficult-to-treat malignancies and those who cannot undergo conventional surgery.

Looking ahead, the International Oncology Diagnosis and Treatment Center of Jinshazhou Hospital of Guangzhou University of Chinese Medicine will continue to advance its clinical technologies, enhance its comprehensive patient services, and strengthen its approach combining modern precision radiotherapy with the distinctive strengths of traditional Chinese medicine. The Center remains committed to providing patients from around the world with high-quality cancer care that meets international standards while incorporating the insights of traditional Eastern medicine, bringing together advanced technology and compassionate medical expertise to support patients' health and well-being.