AI-Powered Systems for Healthcare Diagnostics and Treatment

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· IGI Global
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448
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About this ebook

Artificial intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, streamlining treatment plans, and improving patient outcomes. AI-powered systems can analyze vast amounts of medical data, identify patterns, and assist healthcare professionals in making more precise and timely decisions. These advancements enable early disease detection, personalized treatment strategies, and more efficient resource allocation in medical settings. As AI continues to evolve, it holds the potential to bridge gaps in healthcare accessibility, particularly in underserved regions. However, ethical considerations, data privacy, and the integration of AI with human expertise remain critical challenges that must be addressed to fully realize its benefits.

AI-Powered Systems for Healthcare Diagnostics and Treatment delves into the transformative integration of green AI technologies with intelligent systems to revolutionize disease prognosis. It explores how these technologies can predict, monitor, and manage diseases with reduced environmental impact. This book covers topics such as medical education, risk assessment, and data management, and is a useful resource for medical and healthcare professionals, business owners, computer engineers, data scientists, researchers, and academicians.

About the author

|Shrikaant Kulkarni - Editor|Dr. Shrikaant Kulkarni Shrikaant Kulkarni , Ph.D., is currently working as an Adjunct Professor, Faculty of Business, Victorian Institute of Technology, Melbourne, Australia and Adjunct Professor at Chitkara University, Punjab, India. Dr. Kulkarni has been a senior academician and researcher for more than four decades. He has delivered invited lectures and conducted sessions at national and international conferences as well as faculty development programs. He has guided many major and minor projects in subject areas like engineering chemistry, green chemistry, nanotechnology, analytical chemistry, catalysis, chemical engineering materials, industrial organization, and management. He has published over 100+ research papers in national and international journals and conferences of repute. He has authored 50+ book chapters in books published by CRC, Springer Nature, Apple Academic Press, Elsevier, Wiley, and IET. He has edited 25+ books published by Apple Academic Press/CRC Press and Springer Nature. He authored four textbooks in engineering chemistry. Dr Kulkarni possesses MSc, MPhil, and PhD degrees in Chemistry in addition to master’s degrees in Economics, Business Management, and Political Science. He has expertise in the fields of green chemistry and engineering, analytical chemistry, green nanoscience and nanotechnology, wastewater treatment, Green and Analytical Chemistry, and advanced areas in Chemical Engineering and Material Science as well as Advanced AI. Two of his Patents have been published and two more are applied for grant.

Saikat Gochhait My academic background includes obtaining a Post Doctoral Fellowship in Entrepreneurship from the University of Extremadura in 2018 and a Post Doctoral Fellowship from the National Dong Hwa University in 2019. Finished my PhD in Marketing from Sambalpur University, India in 2014 after receiving the Doctoral Bursary Award from Coventry University in 2010. Additionally, I was awarded a DITA Fellowship from the University of Deusto in 2016, a MOFA Taiwan Fellowship in 2019, and a Russian Fellowship in 2020 from the Samara State Medical University, Russia. Approximately 50 research publications and pre-sentations in national and international journals, with citations to ABDC, Web of Science, Scopus, and Google. My credentials include the publication of five books indexed in Scopus and recommended by top universities around the world.In addition to speaking at several international conferences, I possess extensive experience in teaching, mentoring, and leading research projects. I have also received numerous awards and grants for my re-search and publications. My teaching experience includes 15 years in marketing, entrepreneurship, and information technology, as well as five years of manufacturing industry experience with Tata Groups and Bajoria Groups. I am happy to contribute to both research-led and methodological modules at undergradu-ate and postgraduate levels.Currently collaborated with over 40 universities for research and project collaborations in Artificial Intelligence (AI), Healthcare Technology, and Entrepreneurship. Developed a model patented and has re-ceived awards from the Department of Science and Industrial Research regarding the application of AI in 11/16/23, 3:25 PM Dr Saikat Gochhait (Honoris Causa) (0000-0003-4583-9208) - ORCID | Connecting Research and Researchers the energy sector. Headed Business Incubator (BI) funded by MSME from 2016-2017. Currently also working on my own startup idea AI-VIM, which is supported by the Department of Science and Industrial Research, Government of India, and has been awarded three patents. [Editor]

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