Deep learning is a tool to support various industrial, biomedical and health care applications. Various machine learning processes have played a significant role in Robotics applications, medical image classification and abnormality detection from musculoskeletal radiographs . There are other 2-D images that are utilized for Tuberculosis, COVID 19 detection. Many Networks, such as Densenet, Resnet, Inception v3, and Capsnet architecture will be explained for musculoskeletal radiographs abnormality detection and other life threatening diseases detection . Such computer-based automatic detection of abnormality and diseases saves time, and is more accurate, thus creating a huge impact on the community and humanity and helps achieve the UN sustainable development goals. Speaker(s): Dr. Celia Shahnaz, Virtual: https://events.vtools.ieee.org/m/284084