Abstract

Cloud-based healthcare records have contributed to making cloud storage practical for healthcare professionals. The main problem with cloud-based healthcare records is that they must be interpreted and transmitted over a network where sensitive health information is handled; so, the data must be preserved, be secure, and allow for reliable disease identification. A recommendation for cloud-based medical imaging analytics is a solution to the processing of healthcare records that integrates deep learning with privacy-aware cloud computing. The proposed healthcare record framework requires image normalization and enhancement prior to data encryption and cloud deployment. The recommended framework requires a pre-processing step prior to sending an image over the Internet, transmitting the pre-processed image, storing the pre-processed image in a secure environment, authenticating the streamer, demonstrating that the pre-processed image that was sent is still secure and valid through back verification of the original image and finally using a deep learning analytics engine to determine if there is a disease in the image has been completed. The image group from which the study was conducted consisted of 28500 images of multiple types of medical imaging. The Matthews correlation coefficient showed that the proposed framework produced superior diagnostic performance of 0.957, Jaccard index of 97.01%, balanced accuracy (overall sensitivity, specificity, and accuracy) of 98.08% unless stated otherwise, Cohen’s kappa of 0.954, area under the curve of 99.12%, and Diagnostic Reliability Index of 98.14%. Privacy ratio was 98.31%, data integrity was 98.56%, and access security was 98.72%. The implications of the above methods for the successful implementation of cloud solutions for the Medical Imaging Framework, as well as providing scalability and privacy provision for future integration of medical records using intelligent deep learning analysis, show that deep learning is the solution for the future of the medical imaging business in the modern healthcare sector.