1st Edition
Digital Transformation and XAI in Healthcare
Editors
Contributors
Foreword
1- Explainable Artificial Intelligence and Digital Transformation in Healthcare
Fatma Gul Altin and Ilhan Uysal
2- Legal and Ethical Issues in Healthcare
Tulay Turan
3- Sectoral Applications of XAI in Healthcare
Manjeet Singh and Surbhi Gupta
4- Technology and Infrastructure for XAI in Healthcare
Osama Burak Elhalid and Ali Hakan Isik
5- Data Management and Privacy
Mahreen Fatima, Arooj Fatima, Amjad Islam Aqib, Ayesha Tariq, and Ieman Tariq
6- Decision Support Systems in Healthcare: Applications, Benefits, Challenges, and Future Trends
R.S.M. Lakshmi Patibandla
7- Healthcare Educatıon and XAI: Future Dırectıons
Giray Kolcu and Mukadder Inci Baser Kolcu
8- Multinational Collaborations and Innovation
Ilhan Uysal and Surbhi Gupta
9- Investigation on Deployment of XAI in Healthcare through Augmented Analytics and Augmented Artificial Intelligence
Moushumi Barman and Abhijit Bora
10- Generative Artificial Intelligence and Generative Adversarial Networks (GAN)
Ayhan Arisoy
11- Applıcatıons of Bıg Data Analytıcs ın Healthcare: Insıghts from Medıcal Tourism
Zeynep Dereli
12- Data Management and Integration
Jose Antonio Marmolejo Saucedo, Utku Kose, Jafar Ahmad Abed Alzubi, Ilhan Uysal, and Gamze Kose
13- Revolutionizing Medical Care: The Role of Metaverse and NFTs in Modern Healthcare
Devi Priya V S, Sumathi Doraikannan, Vinitha V, Ranjima P, and Mehmet Bilen
14- The Future of XAI and Digital Transformation in Healthcare
Gokhan Turan
15- Ensuring Patient Autonomy and Informed Decision-Making in AI-Driven Healthcare
Safa Kaymakci and Bekir Yitik
Biography
İlhan Uysal is an Assistant Professor in the Department of Information Systems and Technologies at the Bucak Zeliha Tolunay School of Applied Technology and Business Administration, ‘Burdur Mehmet Akif Ersoy University’ in Turkey. He is also the director of the Bucak Emin Gulmez Technical Science of Vocational School of the same university. Her research focuses on artificial intelligence, machine learning, drug repurposing and artificial intelligence in healthcare. He received his PhD in Computer Engineering from Suleyman Demirel University, Isparta, Turkey. He also holds a Master's degree in Electrical and Computer Engineering (English) from Antalya Bilim University, Turkey, a Bachelor's degree in Computer Systems Teaching and Computer Engineering from Süleyman Demirel University and a Bachelor's degree in Management Information Systems from Anadolu University. Before joining Burdur Mehmet Akif Ersoy University, he worked as a lecturer in Computer Science at Bayburt University for 2 years. He has many publications in science citation index journals, conference proceedings, presentations and book chapters.
Roman Rodriguez-Aguilar is a professor in the Faculty of Economic and Business Sciences of the ‘‘Universidad Panamericana’’ in Mexico. His research is on large-scale mathematical optimization, statistical learning, computational intelligence, health economics, energy economics, digital economics, and digital transformation in organizations. He received his Ph.D. at the School of Economics at the National Polytechnic Institute, Mexico. He also has a master's degree in engineering from the School of Engineering at the National University of Mexico (UNAM), a master's degree in administration and public policy from the School of Government and Public Policy at Monterrey Institute of Technology and Higher Education, a postgraduate in Applied Statistics at theResearch Institute in Applied Mathematics and Systems of the UNAM and his degree in Economics at the UNAM. Before joining Panamericana University, he worked as a specialist in economics, statistics, simulation, finance, and optimization, occupying different management positions in various public and private entities such as the Ministry of Energy, Ministry of Finance, and Ministry of Health. He has co-authored many research articles in science citation index journals, conference proceedings, presentations, and book chapters. Professor Rodrı́guez has supervised many M.Sc. and Ph.D. Students. He is a member of the National System of Researchers Level II ofCONAHCYT in Mexico.
Jafar A. Alzubi is a professor at Al Balqa Applied University, School of Engineering, Jordan. Received Ph.D. degree in Advanced Telecommunications from Swansea University, Swansea UK (2012). Master of Science degree (Hons.) in electrical and c omputer engineering from New York Institute of Technology, New York USA (2005). And Bachelor of Science degree (Hons.) in Electrical Engineering, majoring in Electronics and Communications, from the University of Engineering and Technology, Lahore, Pakistan (2001). Jafar works and researches in a multidisciplinary environment involving Machine Learning, classifications and detection of Web scams, the Internet of Things, Wireless Sensor Networks, Network Security, and Cryptography. He has managed and directed a few projects funded by the European Union. His cumulative research experience of over ten years has resulted in publishing more than sixty papers in highly impacted journals. Currently, he is a senior IEEE member and serves as an editor, editorial board member, and reviewer in many prestigious journals in the computer engineering and sciences field.
Mehmet Bilen is an Assistant Professor at the Department of Computer Engineering, Faculty of Engineering and Architecture, ‘Burdur Mehmet Akif Ersoy University’ in Turkey. He is also working as the Digital Transformation Coordinator of the same university. His research interests include artificial intelligence, machine learning, optimization and bioinformatics. He received his PhD degree from Isparta Süleyman Demirel University, Department of Computer Engineering. He also holds a Master's degree in Computer Engineering from Süleyman Demirel University and a Bachelor's degree in Computer Systems Teaching from Süleyman Demirel University. Before joining Burdur Mehmet Akif Ersoy University, he worked as a lecturer in Computer Science at Gümüşhane University for 2 years. He has many publications in science citation index journals, conference proceedings, presentations and book chapters.






