Overcome radiological barriers with Blockchain

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Blockchain technology is driving the future of the health sector. The digital ledger can help image providers keep and securely share a large amount of data with patients and doctors. Blockchain platforms in radiology can help solve many problems in imaging processes such as access to services, delivery, communication of results and speed of payment of services. The distributed digital approach is adopted in hospitals for medical records, medical service platforms and to improve data security. It is also used to create medical directories and reduce administrative burdens.

Radiology is becoming an increasingly important basis of modern medicine in health care, helping to guide diagnosis and treatment. A typical image size is around 200 MB and storage space is added to cloud storage applications where images are stored and accessed. The blockchain plays an important role in this by ensuring the image and giving access only to patients and doctors. The storage of medical images in the cloud allows doctors in other hospitals to access the image, thus reducing the cost of scanning again.

There are many companies that have used blockchain in radiology. Medical Diagnostic Web (MDW) and DeepRadiology used blockchain with AI in different ways. The MDW blockchain platform links the imaging facilities, radiologists and AI developers who are serving several customers. MDW also specializes in accessing medical imaging data sets for IA developers, enabling the monetization of anonymous and annotated data for imaging centers and providing access to key training data for developers.

DeepRadiology is a blockchain platform that aims to offer a variety of healthcare solutions. The main objective of the platform is to use the latest in-depth learning algorithms for image analysis to improve radiology and health care. The goal of DeepRadiology is to use blockchain and AI to produce products that provide life-saving technologies at the lowest possible rates. An in-depth blockchain-based learning system can process images more efficiently, with lower cost and greater accuracy.

Blockchain will add a level of trust and security for seamless interactions by automating the traditional method. If health care integrates its different blockchain systems, it will be able to gain more confidence by promoting new assistance models and monetization options.

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