World Radiography Day: Suraksha Clinic and Diagnostics pioneers AI driven radiography to redefine diagnostic excellence

New Delhi: On the occasion of World Radiography Day, Suraksha Diagnostic Limited, one of the leading diagnostics chains in Eastern India, has reaffirmed its commitment towards advancing patient care through AI driven radiography and precision imaging, marking a new chapter in India’s diagnostic evolution.

In earlier settings before the emergence of AI, radiologists could take a considerable amount of time in analysing complex scans under heavy workloads, with probability of delaying the process of disease detection, treatment planning and recovery. Currently with AI driven imaging systems, radiographic reports are generated and prioritised in real time which allows critical cases to be flagged with immediate effect. Moreover AI tools improve mammography by supporting radiologists, enhancing cancer detection accuracy rates and reducing chances of errors such as false positives, false negatives, further helping to optimise workflow. 

World Radiography Day recognises the important role played by radiographers and radiological technologists in the healthcare ecosystem, increase public understanding of the significance and advantages of medical imaging in patient care, promote radiography as a career, emphasising the high professional standards that is required in the field. This year the theme for World Radiography Day is ‘Radiographers: Seeing the Unseen’ underscoring the role played by radiographers in visualising conditions which are invisible to the naked eye, utilising advanced imaging techniques. The day is also recognised as the International Day of Radiology (IDoR), which is an initiative launched in 2012 by many key international radiological societies for raising awareness about the importance of medical imaging in modern healthcare.  

The diagnostic imaging devices market in India is estimated to achieve an important milestone with projected revenue of $708.16 mn by 2025, demonstrating the increasing demand in the country for advanced medical imaging technology as per Statista. The market is also expected to exhibit a steady annual growth rate (CAGR) of 6.53% within 2025-2030, which indicates a promising future. By 2039, the market volume in India is projected to reach $971.69 mn, reflecting the growing adoption of diagnostics imaging devices market in the country. AI in medical imaging market is a rapidly growing sector, estimated to reach $307.8 million billion by 2030 with a CAGR of nearly 38.1% within 2023 – 2030.

Integration of Artificial Intelligence has revolutionised Radiography, enhancing the entire diagnostics workflow, starting from image acquisition to interpretation and the subsequent treatment planning. In the present times, advanced digital imaging and powerful AI algorithms are leveraged for improving efficiency, accuracy and patient care.  

As part of its continued investment in next-generation technology, Suraksha Clinic and Diagnostics has deployed AI-enabled Digital X-ray, CT and mammography systems across key centres, optimising image quality, reducing radiation exposure and enabling faster reporting.

Speaking on how AI is bringing a transformation in radiography and modern diagnostics, Dr. Krishanu Saha, Senior Consultant Radiologist at Suraksha Clinic and Diagnostics, said:  “AI is transforming the field of radiography from a purely visual, manual interpretation process into a highly-efficient, data-driven discipline, significantly enhancing the capabilities of a physician and improving patient outcomes. AI is no longer just assisting radiologists; it is reshaping the entire imaging ecosystem from faster scan analysis and early disease detection to predictive diagnostics and personalised treatment planning.” 

AI is integrated across several imaging modalities, which include X-rays, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron Emission Tomography (PET). 

AI  also aids in the creation of personalised treatment plans and in the prediction of patient outcomes by way of analysing huge amounts of imaging data besides genetics and clinical information (radiomics).  

However AI systems can sometimes lead to biases and inaccuracies because of inconsistencies in image quality, formats and labeling across hospitals. AI systems can also reflect regional or demographic biases in case the dataset does not represent diversified populations. AI driven diagnostics face stringent regulatory approval processes for ensuring patient safety and data privacy. Several tools are still awaiting validation or clearance in real-world clinical settings. Without adequate training and explainable AI, AI adoption remains slow despite its potential. High initial setup costs, requirement for advanced hardware and maintenance expenses can act as barriers.

The next wave of AI will help in transitioning radiography from diagnostics to predicting disease risks – integration of data from genomics, imaging, and patient history to anticipate illness progression, redefining preventive healthcare and patient management in the growing digital health ecosystem in India.