Dr. Ashish Kumar, Ph.D., is working as an associate professor with Bennett University, Greater Noida, U.P., India till date. He has worked with Bharati Vidyapeeth's College of Engineering (Affiliated to GGS Indraprastha University) from Aug 2009 to Jul 2022. He has completed his Ph.D. in Computer Science and Engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He received the Best Researcher award from the Delhi Technological University for his contribution to the computer vision domain. He has completed M. Tech with distinction in Computer Science and Engineering from GGS Indraprastha University, New Delhi. He has published more than 25 research papers in various reputed national and international journals and conferences. He has published 15+ book chapters in various Scopus-indexed books. He has authored/edited several books in AI, computer vision, and healthcare domains with reputed publishers. He is an active member of various international societies and clubs. He is a reviewer with many reputed journals and in the technical program committee of various national/ international conferences. Dr. Kumar also served as a session chair at many international and national conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

1. Healthcare Management using Artificial Intelligence
2. Background and research orientation of AI models for segmentation in Medical Imaging
3. Benchmark Image and Clinical Datasets for Analysis in the Medical System
4. Proactive Prognosis: Predicting the Course of Mental and Neurological Disorders with AI
5. Exploring Brain Tumor Detection through Artificial Intelligence
6. Empowering early detection: the role of Artificial Intelligence in breast cancer diagnosis
7. AI based Disease Diagnosis Using Ultrasound Imaging
8. Growth Optimization based SBLRNN model for Estimate Breast Cancer in IoT Healthcare Environment
9. Detection of depression by utilizing Late Fusion of Sequential Actigraphy Features
10. Developmental Pediatrics progression matched with Artificial Intelligence: A Growth Perspective in Healthcare
11. AI in Precision Oncology: Advances in Cancer Treatment
12. Impact of AI-bias in medical systems
13. A Futuristic aspect towards Modern Health care system facilitated through Artificial Intelligence : A Comprehensive Perspective
14. Satelliting Traditional to Smart Healthcare Advancement using Artificial Intelligence: A Paradigm Shift Routing Futuristic Slant- Redefining
15. Welcoming the Evolution of Healthcare: A Transformative Change through AI and Robotics

Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare provides an overview of various machine learning and deep learning techniques, addressing the needs of patients and the necessity for medical aid at early stages of disease. The book reviews, analyzes, and compares the different methodologies utilized for the prediction and detection of diseases. In addition, it explores the possible deployment of these advancements in medical systems, from paper to practice. With the advent of technology, tele consultation, telemedicine, and mobile health care, it is now possible to provide continuous monitoring of the health of patients.
This title fulfills the needs of connected healthcare systems, providing insights into the role of Artificial Intelligence in the prognosis, diagnosis, and analysis of several diseases. It will be a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases.