In India, the intersection of Artificial Intelligence (AI) and radiology is addressing a critical gap: the shortage of trained radiologists in rural and underserved areas.
AI algorithms are being deployed to serve as a "first reader," screening thousands of images to flag abnormalities for human review. In the context of tuberculosis (TB) screening, AI-powered chest X-ray analysis has proven to be an invaluable tool. These systems can identify suspicious patterns with high accuracy, allowing for faster triage and the initiation of confirmatory molecular testing, which is essential for the national goal of eliminating TB.
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