Tapestry of Promise and Peril: NLP, AI, and IoMT in Healthcare Transformation - A Review
description: This chapter investigates the intersection of NLP, AI, and IoMT in healthcare, as the former two will unlock the medical jargon to create accessible communication, while the latter enables real-time monitoring and decentralized clinical trials, thus providing predictive insights into personalized care plans. A systematic literature search was carried out using keywords in important academic databases that include PubMed, Scopus, and Google Scholar from 2022 to 2024. Shadows lurk amidst this optimism. Security and privacy concerns pertaining to IoMT data loom large. Decentralized trials are clouded by ethical concerns and regulatory hurdles. The specter of inequality threatens to increase the digital divide. To bridge this gap, a multipronged approach is crucial. Secure, privacy-preserving NLP and AI algorithms are the foundation. Robust IoMT infrastructure with blockchain-based security and interoperability standards is the framework. Clear, ethical frameworks for decentralized trials are the guiding threads. Ultimately, inclusivity is key. Bridging the digital divide and empowering patients and healthcare workers alike will ensure this future benefits all. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors.
creator: Baranidharan, S.; Bhat, Sujatha Ravinatayana; Devesh, Sonal; Warrier, Gayathry S.
source: Internet of Medical Things: Case Studies and Applications in Healthcare;pp.48-64
publisher: CRC Press
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 978-104050436-9; 978-103274893-1;
language: English
type: Book chapter
coverage: Baranidharan S., School of Business and Management, CHRIST University, Bengaluru, India; Bhat S.R., College of Banking and Financial Studies, Muscat, Oman; Devesh S., School of Business and Management, CHRIST University, Bengaluru, India; Warrier G.S., Department of Computer Science, CHRIST University, Bengaluru, India