As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape. AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.
Gochhait, Saikat: - Presently working with Symbiosis Institute of Telecom Management (constituent of Symbiosis International: Deemed University) . Ph.D thesis was awarded with Coventry Bursary Award in 2010, Deusto International Tuning Academy (DITA) Scholarships from University of Deusto, Spain, and Taiwan Research Fellowship 2019 from Ministry of Foreign Affairs. Post Doctoral fellow from University of Extremadura, Spain.
Kulkarni, Shrikaant: - "Shrikaant Kulkarni - EditorDr. 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."
