AI Role in Haptic Healthcare

May 2026 · Springer Nature

Ebook

121

Pages

About this ebook

The book presents opportunities in the healthcare industry that become possible when artificial intelligence (AI) and haptic technologies are combined. The book bridges the gap between innovation and human stories, with the author unveiling the ways AI and haptic technology are making healthcare more precise, empathetic, and human-centric. The book delves deep into how AI amplifies the capabilities of haptic technology, paving the way for unprecedented advancements in healthcare. This convergence promises enhanced tactile feedback, making medical procedures more accurate and patient experiences more intuitive. From robotic-assisted surgeries to advanced prosthetics that can simulate touch, the book provides concrete examples and case studies. These narratives highlight the transformative power of integrating AI with tactile technology in real-world healthcare scenarios. Beyond just technological advancements, the book also addresses the ethical dilemmas posed by such innovations and provides a forward-looking perspective on the future of haptic healthcare, anticipating challenges and opportunities on the horizon. The book is relevant to engineers, medical professionals, tech enthusiasts, and students and academics.

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About the author

Dr. Rohit Thanki is an expert in Artificial Intelligence, Medical Informatics, and Digital Health with experience in enterprise AI and Healthcare AI in India, the Middle East, and Germany. Previously, he served in a senior leadership role at KRiAN GmbH, where he developed CE-certified Software as a Medical Device (SaMD) for medical diagnostics and rehabilitation. He was also Head of Research & Development at Prognica Labs in Dubai, focusing on AI-driven breast cancer screening solutions.

Dr. Thanki holds a Ph.D. in Electronics and Communication Engineering from C. U. Shah University, India, with research on privacy-preserving multibiometric systems. He also has bachelor's and master's degrees in Electronics and Communication Engineering. His research interests include explainable AI for healthcare, medical imaging, biomedical signal processing, multimodal and generative AI systems, and regulatory-compliant clinical AI agents. He has contributed to the development of AI systems covering X-ray, CT, MRI, ultrasound, mammography, histopathology, and physiological data analysis.

Dr. Thanki has taught courses in image processing, signal processing, communication systems, and VLSI as an Assistant Professor and Visiting Lecturer in India. He serves on Ph.D. examination boards and supervises postgraduate research in both India and Germany. He has published over 110 Scopus-indexed articles and 20 scholarly books, with more than 1,700 citations and a strong h-index. Dr. Thanki is a Senior Member of IEEE, an editorial board member for BMC Digital Health and PLOS One, and an active peer reviewer for leading journals.

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