Traditional disease identification have often relied on subjective interpretations, leading to potential inaccuracies and delays in treatment. A promising new approach is emerging, one that leverages the power of machine learning to revolutionize how we detect diseases. This novel method utilizes vast information repositories to train algorithms ca