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Medical images are a valuable source of data that are frequently used for diagnosis, treatment evaluation, and planning [13]. Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Photoacoustic Imaging (PI), Molecular Imaging (MI), Positron Emission Imaging (PEI), and Sonography are all examples of established clinical imaging techniques. However, medical image data will often have up to hundreds of megabytes (e.g., up to 2,500+ scans [14]) for one study (in one study, for example, histology data), or even thousands of megabytes (a large number of scans in a thin-slice CT study, e.g., proctology). Data needs a large storage area to be held for extended periods of time. While any decision support needs to be completed on the fly, they must be quick and precise algorithms in order to have practical benefits. Even though these patients’ overall and individual medical data are often acquired for each of giving additional information, as well as for their diagnoses, prognoses, treatment procedures, and outcomes, the development of storage and methodologies capable of gathering and maintaining relevant medical data is additionally challenged.

Despite current healthcare systems’ enormous expenditures, clinical outcomes remain sub-optimal, particularly in the United States of America, where 96 people per 100,000 die annually from treatable conditions [15]. A significant contributor to such inefficiencies is healthcare systems’ inability to effectively collect, share, and use more comprehensive data [16]. This creates an opportunity for big data analytics to play a more significant role in assisting the exploration and discovery process. Improving care delivery, assisting in the design and planning of healthcare policy, and providing a means of comprehensively measuring and evaluating the complicated and convoluted healthcare data. More importantly, the adoption of insights gleaned from big data analytics has the potential to save lives, improve care delivery, expand access to healthcare, align payment with performance, and aid in containing the perplexing growth of healthcare costs.