**2.2 AI in radiology**

AI and radiology together have brought a drastic change in the field of healthcare. The dawn of the application of AI in radiology was since 1960s [19]. Medical imaging in the detection and diagnosis of diseases is the widest use of machine learning in the field of healthcare [20]. CT scans, MRI, tomography, X-Ray are used algorithms in radiodiagnosis. The machines detect and pinpoint the changes on the basis of large data by which the neural network has been trained. The AI in radiology is applied for the detection of breast cancer at an early stage by mammography scans [21, 22] and tumors, tuberculosis, or diseases related to lungs with chest radiography [23–27]. A schematic representation of clinical radiology workflow is given in **Figure 2**.
