Artificial intelligence in radiological diagnosis: a review

Data science and the employment of machine learning techniques in medical sciences have been on a constant rise. These methodologies are novel and have led to newer procedures and pipelines, which reduce cost-effectively and time consumption. These techniques have been applied on collections of datasets ranging across several domains spanning from the application of detection of road traffic in self-driving cars to the usages of financial prediction models. The uses of these statistical techniques are not unfamiliar with the medical datasets on which operations are performed, ranging from detection of none or any presence of abnormalities to the prediction of such anomalies. This review focuses on the various developments and uses of Artificial Intelligence in diagnosis methods regarding disease as Thoracic Imaging, Chest Radiograph Reading, and Volumetry. Here, the studies highlight the procedures for identifying various disease symptoms and signs that can be crucial for determining disease.