Traditional disease identification have often relied on subjective analysis, leading to potential inaccuracies and delays in care. A groundbreaking new approach is emerging, one that leverages the power of machine learning to revolutionize how we detect diseases. This novel method utilizes vast medical databases to train algorithms capable of inter