Revolutionary cloud-based AI system slashes treatment planning time and expands access to underserved communities
In a groundbreaking development that could reshape the landscape of cancer treatment in India, Karkinos Healthcare has unveiled the results of a pioneering study that demonstrates the transformative potential of artificial intelligence (AI) in oncology. Published in the International Journal of Science Academic Research, the study confirms the feasibility of a centralized, AI-powered system to standardize and accelerate cancer treatment planning across diverse geographies.
The study, titled “Expanding the Reach: Integrating AI‐Generated Auto Contours via Deep Learning Segmentation into Diverse Treatment Planning Systems,” was conducted across multiple hospitals in India and covered more than 1,000 patient cases. By leveraging deep learning segmentation tools integrated into Ray Station, Eclipse, and Monaco systems, Karkinos Healthcare has effectively addressed long-standing challenges in tumor contouring—a critical step in radiation therapy planning.
Cutting Treatment Planning from Days to Minutes
Manual contouring, traditionally a labor-intensive process taking 2–3 days and prone to variability between oncologists, often delays treatment and places strain on limited medical resources, particularly in regions with a shortage of specialists. The AI-powered solution developed by Karkinos dramatically reduces this time to under an hour while ensuring unparalleled accuracy and standardization.
“This is more than just a technological milestone—it is a paradigm shift,” said Dr. Muralidhar K.R., one of the lead authors of the study. “We are proving that cutting-edge cancer care can be delivered with consistency and speed, even in remote or underserved regions.”
Three Pillars of Innovation: Science, Medicine, and Technology
The success of Karkinos’ approach rests on three foundational pillars:
- Science: Advanced deep learning segmentation ensures precise organ-at-risk (OAR) contouring, creating reliable and replicable treatment plans.
- Medicine: Uniform contouring standards minimize treatment variability and offer patients in underserved areas access to the same quality of care as those in urban centers.
- Technology: A secure, cloud-based infrastructure enables seamless transmission of DICOM images between hospitals, laying the groundwork for a national standard in AI-driven oncology.
Transforming Patient Care and Hospital Operations
This breakthrough has far-reaching implications for patients and healthcare institutions alike. Patients benefit from faster treatment cycles and improved access to care, while hospitals gain operational efficiency, reduced overhead, and the capacity to treat more patients without compromising quality.
Moreover, the AI system creates scalable opportunities for future investment in oncology technology, positioning Karkinos as a pioneer in establishing next-generation standards for cancer care in India.
Democratizing Cancer Care
“At Karkinos Healthcare, our mission is clear: to ensure that no person is deprived of cancer care due to lack of access or affordability,” said Arvind Sivaramakrishnan, a co-author of the study. “By embracing AI and a distributed care model, we are taking tangible steps toward achieving this goal.”
As a step-down subsidiary of Reliance Industries Limited, Karkinos Healthcare a technology-led purpose-driven oncology platform, continues to leverage its robust network of molecular diagnostic labs, partnerships with leading academic institutions, and a technology-first approach to redefine cancer care delivery in India and beyond.
