NANOTECHNOLOGY-ENHANCED SMART HEALTHCARE: INTEGRATING AI AND IOT FOR ADVANCED DRUG DELIVERY SYSTEMS

Clicks: 2
ID: 312352
2025
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #334 of 395 articles by views in Social Sciences & Humanity Research Review

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 395 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Background: A combination of nanotechnology with AI and IoT will contribute significantly to the improvement of healthcare facilities, especially in drug delivery services. It is possible to speak about precision, as well as about a patient-specific approach, and even about the constant control of the processes happening within the human body with the help of these technologies. However, the problematic complexity remains concerning implementation, cost, and the protection of data. Objective: The purpose of this research is to review the emerging perspectives, advantages, and issues in the context of nanotechnology incorporated with smart healthcare systems incorporated in AI and IoT for drug delivery. Methods: The method of research was quantitative where a structured questionnaire was used to collect information from the respondents who were technicians, healthcare, researchers, and other technology-savvy participants. The target population was that of students who had previously taken a quantitative course to which 250 respondents were selected with a purposive sampling method. For the analysis of the results of the survey, the following measures were applied: descriptive statistics, correlation analysis, comparison of the means, and reliability tests (Cronbach’s Alpha). To check the normality of the data, the Shapiro-Wilk test was used. Results: As to the variable ‘familiarity with nanotechnology,’ the Shapiro-Wilk test revealed that the distribution was not normal p < 0. 05. The Cronbach’s Alpha coefficient was 0. As for the internal consistency of the Likert scale items the calculated coefficient alpha was 0. 947. The respondents’ satisfaction did show that AI-integrated drug delivery systems are effective but the difficulties of integration and data privacy issues were cited. The correlation between the independent variable and the dependent variable included; Familiarity with nanotechnology was significantly correlated with the effectiveness of AI and IoT systems in healthcare. Conclusions: Nanotechnology, AI, and IoT are considered emerging technologies in health care, especially in drug delivery. Nonetheless, the following are the main challenges related to the implementation and data privacy. To get maximum benefit from these technological solutions healthcare stakeholders should pay attention to enhancing awareness and integration efforts along with establishing effective data protection policies.
Reference Key
imported_1776691901_69e62abdd6901 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ali Asghar Bhutto, Bharat Kumar Essarani, Syed Ibrar Hussain Shah, Sahil Kumar
Journal Social Sciences & Humanity Research Review
Year 2025
DOI
DOI not found
URL
https://sshrr.online/index.php/4/article/view/97
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.