The University of the Free State (UFS), South Africa, and Universitas Academic Hospital have achieved a global healthcare milestone by becoming the first clinical site worldwide to successfully integrate artificial intelligence into cancer treatment planning, marking a transformative advancement in oncology care, according to a statement issued by UFS.
AI implementation
The Departments of Medical Physics and Oncology at UFS, in partnership with Universitas Academic Hospital, have implemented the Radiation Planning Assistant (RPA), a sophisticated web-based AI platform developed by MD Anderson Cancer Center in Houston, Texas. This pioneering initiative has already treated nearly 50 patients, positioning the Bloemfontein-based teams as global leaders in the clinical application of AI in radiotherapy.
Under the leadership of Dr. William Shaw, Senior Lecturer and Deputy Manager in the Department of Medical Physics, the institution has built a robust academic partnership with Professor Laurence Court and his team at MD Anderson Cancer Center—a collaboration that is now yielding remarkable real-world results.
“The introduction and clinical integration of the RPA at the UFS and Universitas Hospital represents a major advancement for oncology services—both regionally and nationally,” Dr. Shaw explained. “It signifies the transition from research collaboration to real-world application, where artificial intelligence is being used to improve access to safe, high-quality cancer care.”
Revolutionizing treatment planning
The RPA technology addresses one of the most time-consuming aspects of cancer care: creating patient-specific radiation treatment plans. The cloud-based platform automates critical components of the treatment planning process, enabling consistent production of high-quality radiotherapy plans while reducing demands on specialized clinical staff.
Dr. Shaw described the streamlined process: “The process begins with the acquisition of a planning CT scan, which serves as the sole imaging input to the RPA. Once the CT dataset has been captured, it is uploaded to the RPA platform via a secure web interface.”
The system uses advanced machine learning algorithms to automatically identify and delineate both tumour volumes and critical normal tissues. Following the completion of the contouring process, the platform automatically generates a comprehensive radiotherapy treatment plan.
Expanding treatment applications
Initially implemented for cervix cancer treatment—representing the largest proportion of radiotherapy patients at the institution—the RPA has since expanded to encompass breast cancer, head and neck cancers, and primary brain tumors. With ongoing institutional support, the system shows significant promise for broader application across nearly all major tumor types treated with external beam radiotherapy.
Professor Vasu Reddy, Deputy Vice-Chancellor for Research and Internationalisation at UFS, praised the achievement: “We extend our congratulations to our colleagues for their exemplary collaborative achievements. Your pioneering work represents the transformative power of multidisciplinary research in advancing medical science and improving patient outcomes.”
Immediate patient benefits
The technology delivers immediate, meaningful improvements for cancer patients by enabling faster access to well-constructed, evidence-based treatment plans reviewed and refined by experts. This translates to more timely care, fewer unplanned treatment interruptions, and improved protection of normal tissues, resulting in fewer side effects and better overall outcomes.
“Our aim is to use artificial intelligence not as a shortcut, but as a tool to standardize, scale, and improve cancer care in places where the need is greatest,” Dr. Shaw emphasized. “The RPA enhances the quality, consistency, and timeliness of cancer treatment in radiotherapy settings—particularly in environments where clinical capacity is limited.”
International expansion
The success in Bloemfontein serves as a model for broader health system innovation, providing a foundation for the safe, phased rollout of similar systems in other provinces. Professor Court has already extended access to the RPA to other radiotherapy centers in South Africa, with expansion to additional countries planned for the near future.
The Department of Oncology, led by Professor Alicia Sherriff, has joined the initiative as an active clinical partner, establishing a multi-disciplinary collaboration that lays the foundation for further research and innovation at the intersection of medical physics, oncology, and data science.
Advanced treatment techniques
Beyond external beam radiotherapy, the UFS and Universitas teams are advancing the use of interstitial brachytherapy for cervix cancer. While not the first globally to implement this specialized technique, the Bloemfontein team ranks among the earliest adopters on the African continent, helping expand access to this advanced modality where it’s most needed.
Future vision
This work received support from the Nuclear Technologies in Medicine and the Biosciences Initiative (NTeMBI), a national technology platform developed and managed by the South African Nuclear Energy Corporation (Necsa) and funded by the Technology Innovation Agency (TIA).
Dr. Shaw’s team has played a central role in developing safe, reliable clinical processes to integrate AI tools like the RPA into daily practice, ensuring that automation enhances rather than replaces professional expertise.
Professor Reddy outlined the broader vision, “The future we are heading towards is one where human innovation and digital technologies work together to elevate the standard of care, rather than replace humanity in medicine. It is encouraging to see how our colleagues are internationalizing our footprint, together with machine precision to enhance detection, personalize treatment and, perhaps importantly, empowering clinicians with data-driven insights for patient care.”
This innovation represents a significant step forward for cancer care in South Africa and demonstrates how international partnerships can bring cutting-edge technologies to healthcare frontlines, making them work effectively in real clinics for real patients. As cancer incidence rises across low- and middle-income countries, the leadership shown by the UFS and Universitas teams offers a compelling model for how academic medical centers can respond with agility, scientific rigor, and global solidarity.
Edited by Chris Jose