Melanoma, an aggressive skin cancer, requires timely diagnostics for improved patient outcomes. The ABCDE criteria—assessing asymmetry, borders, color, diameter, and evolution—serve as foundational guidelines for early detection. Non-invasive tools like dermoscopy, total body photography, and advanced imaging techniques enhance visualization of skin lesions, while artificial intelligence-driven algorithms improve diagnostic accuracy. Despite these advancements, biopsy remains the gold standard for definitive diagnosis. This multifaceted approach highlights the need for integrating traditional methods with innovative technologies to optimize melanoma evaluation and management, ultimately leading to better patient outcomes.