A Survey on Artificial Intelligence and Machine Learning Approaches for Medical Data Authentication

Abstract

Most medical image interpretations are traditionally handled by radiologists and doctors. But recently, researchers and medical professionals have started to utilize computer-assisted interventions due to significant pathological diversity and potential expert weariness. While computerized medical image analysis is lagging behind other medical imaging technologies in terms of advancements, it has been lately improved by machine learning (ML) and deep learning (DL) methods. ML and DL methods help to train the model and extract the features. On the other hand, the impact of advancements in medical imaging technologies on authentication of medical data is also significant. Since it is required to maintain confidentiality, medical data authentication is very much essential. This survey presents recent advancements in medical imaging with respect to artificial intelligence and the purposes of authentication in different fields.

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