💨 Abstract

India's diagnostic ecosystem is overstretched with insufficient radiologists and diagnostic equipment, leading to increased errors and poor disease detection, particularly for tuberculosis. Artificial Intelligence (AI) offers a promising solution to enhance efficiency, discern subtle patterns, and predict disease onset earlier. However, AI integration presents risks, including privacy concerns, bias, and the lack of transparency in AI decision-making.

Courtesy: theprint.in

Summarized by Einstein Beta 🤖