**6. Annotation**

One of the most important steps in AI is Annotation. Data Annotation is the process of categorising and labelling individual elements of the data for AI applications. The data can be in image, a video, audio, graphic or a text format. The annotation is to convert the data into a machine-readable format. The annotation was being done manually to start with, but machine read annotations are available currently. Manual annotators are currently creating the data sets helping the computers using Natural Language Processing (NLP) and Computer Vision to detect the text and images in interpreting images in radiology, pathology, oncology, retinopathy, biometrics, and data insights. Uniformity in description and standardisation of the data annotation detectable by NLP or computer vision forms the basics of annotation. Healthcare provider has an obligation to use the right machine-readable word for the text and description of an image or video. The AI interpreted annotation is one of the future probabilities. Even for the AI interpreted annotations, the algorithms. Need to consider manual data annotation to start with [23–28].
