Secure Medical Image Sharing

The Internet has developed into a platform which allows healthcare workers to access medical documents and files. Files need secure transmission and management because organizations must share them while safeguarding private patient details. This research evaluates different approaches which enable safe medical data sharing by showing their specific strengths and weaknesses. The two categories include centralized techniques involving encryption and watermarking, and distributed methods including blockchain and federated learning. The study investigates medical file watermarking techniques which have advanced from basic methods to modern AI-based systems. Traditional white box techniques provide easy system understanding but deep learning models function as black box systems delivering superior performance and operational flexibility. The research results show that current technological systems must deal with complex security threats which threaten the precise diagnosis of medical documents.