Artificial intelligence (AI) is rapidly transforming how cutaneous infections are diagnosed and managed, enhancing accuracy, efficiency, and accessibility worldwide. Advanced machine learning algorithms, especially convolutional neural networks (CNNs), can classify infections caused by bacteria, viruses, fungi, and parasites with high sensitivity. AI models like MPXV-CNN have shown exceptional accuracy detecting viral infections such as Mpox, while DL frameworks like Inception-v3 and ResNet-50 aid in diagnosing leprosy and fungal diseases. Beyond diagnostics, AI supports real-time epidemiological surveillance and personalized treatment planning , accelerating drug discovery and overcoming dermatologist shortages globally.
To read more.... click here ##Reference## Khan, B.I., Bhatt, S., Shishak, M. et al. The Role of Artificial Intelligence in Diagnosis and Management of Cutaneous…
