AI and Big Data in Medical Diagnostics

Dear Colleagues,

Artificial intelligence has subtly and progressively been integrated into our daily life. The applicability of heuristic algorithms revolutionized how we manage extensive databases and AI, providing an adequate framework for systematic analysis and promptly revealing its enormous potential in medical diagnostics.

The excitement of a plausible application of innovative systems in our practice generated overwhelming enthusiasm in our community, and clinicians rapidly dove into a new lexicon, such as convolutional neural network models, deep learning methods, training machines, computer-aided detection systems, etc. Soon, we all realized that cross-pollination research with biomedical engineers, informaticians, and clinicians was more than an episodic drift of our mindset but an indispensable move towards a new, advancing frontier.

In this Special Issue, we aim to showcase the state-of-the-art AI in multiple fields of medical diagnostics, with examples of cutting-edge research that is being carried out in this field.

Dr. Miguel Mascarenhas
Dr. Hélder Cardoso
Prof. Dr. Guilherme Macedo
Guest Editors

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