In the past, doctors' observations were frequently used to make diagnoses, which could cause therapeutic delays. These days, artificial intelligence (AI) employs big data, deep learning, and machine learning to identify patterns in massive medical records, improving detection speed and accuracy. CNNs, RNNs, and SVMs are examples of Al models that are assisting in records, improving detection speed and accuracy. CNNS, RNNs, and SVMs are examples of Al models that are assisting in the early diagnosis of mental health issues, diabetes, cancer, and heart disease. Al also aids in the development of individualized treatment programs with the aid of wearable technology, genetic data, and electronic health records.
Artificial intelligence, Machine learning, Convolutional neural networks (CNNs), Emerging Market Infections (EMIS)