The Future of Work (FoW) is witnessing an evolution where AI systems (broadly machines or businesses) are used to the benefit of humans. Work here refers to all forms of paid and unpaid labor in both physical and virtual workplaces and that is enabled by AI systems. This covers crowdsourcing platforms such as Amazon Mechanical Turk, online labor marketplaces such as TaskRabbit and Qapa, but also regular jobs in physical workplaces. Bringing humans back to the frontier of FoW will increase their trust in AI systems and shift their perception to use them as a source of self-improvement, ensure better work performance, and positively shape social and economic outcomes of a society and a nation. To enable that, physical and virtual workplaces will need to capture human traits, behavior, evolving needs, and provide jobs to all. Attitudes, values, opinions regarding the processes and policies will need to be assessed and considered in the design of FoW ecosystems.

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The known fact of wide impression of digitization on every aspect makes us refer to the artificial intelligence in lowering the difficulty of analyzing a medical image. Considering that the neural network applications in computer aided diagnosis represents the main stream of computational intelligence in medical imaging, it focuses on recent neural network developments. Keeping in mind the extremity of the requirement of how much perfectly it analyzes an image that well it can be justified, providing a clear view on the developments made by Mathematical morphology, back propagation neural networks in computer-aided detection, diagnosis and simulation describing number of applications. Representative techniques and algorithms are explained in detail illustrating how neural networks with fixed structure and training procedure could be applied to resolve a medical imaging problem followed by getting analyzed, processed and characterized by it. In the concluding section, an emphasis of comparisons among many neural network applications is included to provide the extent of neural computation in medical imaging.