The field of artificial intelligence (AI) in healthcare is witnessing significant challenges through the integration of diverse data modalities and advanced mathematical methodologies. The book covers multiple domains, encompassing the analysis of images, bio-signals, textual clinical notes, and electronic health records (EHRs). These efforts are important in developing in-demand AI solutions for various healthcare applications, such as radiology and bio-signal monitoring etc. The advances in cutting-edge AI techniques like deep learning, reinforcement learning, natural language processing (NLP), federated learning, edge AI, big data and cloud computing, with foundational mathematical concepts such as optimization and advanced statistical modeling, enhance the practical usability and interpretability of AI systems in real-world scenarios.  The eXplainable AI and hybrid computational approaches also bridge the gap between theoretical research and clinical applications. In terms of applications, the robust integration of mathematical and AI methodologies to improve healthcare outcomes through practical case studies is focused on this book. These include but are not limited to, disease detection, resource optimization, and healthcare forecasting ensuring that the solutions developed are innovative in terms of frameworks and also address important healthcare challenges. The ethical dimensions, future-proofing, and interdisciplinary collaborations in AI with regard to healthcare are explored rigorously. Such interdisciplinary approaches are vital for addressing the complex and evolving challenges of modern healthcare, ensuring that AI solutions are both comprehensive and sensitive to the multifaceted nature of patient care and data handling. The proposed special issue, “Mathematical Advances of Artificial Intelligence in Healthcare: Recent Challenges and Developments,” covers mathematical advancements in AI, aiming to create a transformative impact on healthcare, exploring data-driven future solutions that promise to further revolutionize the landscape of healthcare technology.

Submission Guidelines

The authors can send their maximum 4 pages abstract at following email id: crcbookmaai@gmail.com

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All questions about submissions should be emailed to: arunkumar.s@vitap.ac.in; er.arunsinha.nsit@gmail.com

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