Navigating the Digital Frontier: A Review on the Clinical Applications of Convolutional Neural Networks and Emerging AI Models in Medicine and Surgery
DOI:
https://doi.org/10.5195/ijms.2023.2610Keywords:
Artificial Intelligence, Deep learning, Healthcare, Medicine, Surgery, Convolutional neural networks, Machine LearningAbstract
Artificial intelligence (AI) is being integrated into several fields worldwide due to its impressive capabilities in completing tasks, sometimes autonomously. Research by several groups worldwide has shown that AI could similarly be incorporated into clinical practice. Convolutional neural network (CNN) models have an inherent capability of recognising and classifying patterns, allowing them to be used in imaging and other diagnostic techniques in various clinical specialities. With some AI systems already in use, it is anticipated that several other AI models will come into clinical practice in the coming years to improve healthcare and patient outcomes. Hence, it is paramount that current medical students and practising doctors keep up with these recent advances in AI to provide the best standard of care for patients. This narrative review explores the basis of deep learning CNN models and summarises extensive literature to provide an overview of some of the recent applications of CNN models to various clinical specialities in medicine and surgery.
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