Manuscript Topics

This special issue will focus on the development of artificial intelligence (AI) based models for several medical applications such as medical data analytics, big health data, visualization analytics, computer vision, medical image analysis, human-machine interface in medical issues, and new and emerging topics in health care such as the utilization of social media data. The availability of very high-resolution images captured from X-rays, CT (computed tomography) scan, MRI (magnetic resonance imaging) ultrasound, nuclear medicine imaging, including positron-emission tomography (PET) have provided new directions in several medical fields, and therefore, there is a need to build more robust and advanced AI- based models. These models should provide better solutions to existing health sector ranging from developing novel architectures and its optimization to explaining the model outcomes. AI and Explainability AI (XAI) based-models have the benefit of automatic processing with an aim to better explain the model results, and providing a reasonable explanation of the results. There is a growing need for AI technologies like machine learning, specifically, deep neural networks, knowledge graphs, neurofuzzy models, along with optimization techniques, such as genetic algorithms, particle swarm optimization, firefly algorithms etc., for decision-making and modelling purposes in health sector. This special issue invites authors to submit their contributions in the following areas, but not limited to:

• Medical data analytics;
• Big health data;
• Visualization analytics;
• Computer vision;
• Medical image analysis;
• Time series analysis of medical images for disease detection;
• Human-machine interface in medical issues

Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/