Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/67303| metadata.dc.identifier.doi: | https://doi.org/10.56042/jipr.v31i2.20856 |
| Title: | AI, Machine Learning, and Deep Learning in Indian Healthcare: Intellectual Property Trends and Insights (2010–2025) |
| Authors: | Keer, Kaustubh Bokhare, Anuja |
| Keywords: | Artificial Intelligence;Machine Learning;Deep Learning;Healthcare;Patents;Bibliometric Analysis;Data Visualization |
| Issue Date: | Feb-2026 |
| Publisher: | NIScPR-CSIR,India |
| Abstract: | The research offers data-driven insights into the intellectual property landscape of AI-powered healthcare innovation in India between 2010 and 2025, with a focus on advancements employing artificial intelligence (AI), machine learning (ML), and deep learning (DL). The analysis uses curated data from Scopus to investigate trends in patent filings, identify leading applications and inventors, and highlight recent technology sectors such as medical imaging, diagnostics, and predictive analytics. This research provides actionable insights into the structure of AI-healthcare innovation in India and offers a foundation for policymakers, investors, and researchers to navigate the evolving intellectual property landscape. |
| Page(s): | 289-298 |
| ISSN: | ISSN: 0975-1076 (Online) ;ISSN: 0971-7544 (Print) |
| Appears in Collections: | JIPR Vol.31(2) [March 2026] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JIPR-31(2) 289-298.pdf | 656.88 kB | Adobe PDF | View/Open |
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