India, April 6 -- Artificial Intelligence (AI) is transforming how routine healthcare systems function and nowhere is this more apparent than radiology. Integrating AI into imaging systems has the potential to fundamentally reshape the discipline and drive a higher level of clinical precision. Imagine a situation where a person goes for a routine eye test. The system picks up structural changes in the retinal nerve, too minor to be noticed by a human, and alerts a radiologist, who in turn will flag this as an early case of glaucoma, a disease that can cause permanent vision loss if not detected in time.
In recent years, imaging-based diagnostics have emerged as a critical decision-making tool across medical specialisations, placing dispr...
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