Titlebook: Artificial Intelligence in Medical Virology; Jyotir Moy Chatterjee,Shailendra K. Saxena Book 2023 The Editor(s) (if applicable) and The Au

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https://doi.org/10.1007/978-88-470-0663-8inistrations are of extraordinary interest to specialist organizations, gadget designers, and clients. This paper recognizes computer vision from traditional informal community and gives an exhaustive review of computer vision with respect of their utilization, benefits, arrangement, and plan of the

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https://doi.org/10.1007/978-88-470-0663-8lood flow and other nutrients are disrupted. Stroke is the leading cause of bereavement and disability universally, according to the World Health Organization. To predict a patient’s risk of having stroke, this project used machine learning (ML) approach on a stroke dataset obtained from Kaggle, the

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Saggi biologici (farmacologici)onts to astound the unseen situation. Medical imaging modalities like computed tomography and X-ray play a critical role to combat COVID-19, whereas the intrusion of AI techniques strengthen further the diagnostic process and help medical experts. However, several obstacles inhibit greater implement

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https://doi.org/10.1007/978-88-470-0663-8nt Decision Support Systems and Recommendation Systems. The intelligence of these systems is backed by Machine Learning Techniques. Advancement in Machine Learning (ML) Techniques has led to the innovations in healthcare systems. Automatic intelligent systems are developed on the basis of multiple c

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https://doi.org/10.1007/978-90-313-8126-5cular diseases (CVDs). Recent advances in deep learning have led to the development of efficient classification algorithms with enhanced classification rates and accuracy compared to traditional methods. In this book chapter, we have attempted to analyze PCG signals by using time–frequency represent

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Book 2023ruses in translational research and human healthcare...Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and bi

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2662-981X plications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and bi978-981-99-0371-9978-981-99-0369-6Series ISSN 2662-981X Series E-ISSN 2662-9828

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