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Review
. 2025 May 8;16(1):697.
doi: 10.1007/s12672-025-02469-4.

The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review

Prasanthi Samathoti  1 , Rajasekhar Komarla Kumarachari  2 , Sarad Pawar Naik Bukke  3 , Eashwar Sai Komarla Rajasekhar  4 , Ashish Ashokkumar Jaiswal  5 , Zohre Eftekhari  6
Affiliations
Review

The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review

Prasanthi Samathoti et al. Discov Oncol. .

Abstract

Cancer remains one of the deadliest diseases globally, significantly impacting patients' quality of life. Addressing the rising incidence of cancer deaths necessitates innovative approaches such as nanomedicine and artificial intelligence (AI). The convergence of nanomedicine and AI represents a transformative frontier in cancer healthcare, promising unprecedented advancements in diagnosis, treatment, and patient management. This narrative review explores the distinct applications of nanomedicine and AI in oncology, alongside their synergistic potential. Nanomedicine leverages nanoparticles for targeted drug delivery, enhancing therapeutic efficacy while minimizing adverse effects. Concurrently, AI algorithms facilitate early cancer detection, personalized treatment planning, and predictive analytics, thereby optimizing clinical outcomes. Emerging integrations of these technologies could transform cancer care by facilitating precise, personalized, and adaptive treatment strategies. This review synthesizes current research, highlights innovative individual applications, and discusses the emerging integrations of nanomedicine and AI in oncology. The goal is to provide a comprehensive understanding of how these cutting-edge technologies can collaboratively improve cancer diagnosis, treatment, and patient prognosis.

Keywords: AI in healthcare; Artificial intelligence; Cancer; Digital healthcare; Drug delivery; Nanomedicine; Nanoparticles; Oncology.

PubMed Disclaimer

Conflict of interest statement

Declarations. I hereby declare that this submission is entirely my own work, in my own words, and that all sources used in researching it are fully acknowledged and all quotations properly identified. Ethics approval and consent to participate: Not applicable. Consent for publication: All the authors have read and agreed to the final copy of the finding as contained in the manuscript. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Trends in AI intervention in cancer healthcare (PubMed) from 2018 to 2024
Fig. 2
Fig. 2
Trends in AI intervention in cancer healthcare (Springer) from 2018 to 2024
Fig. 3
Fig. 3
Different types of nanoparticles
Fig. 4
Fig. 4
A USFDA-approved AI-based radiological software systems used in prostate, lung and brain cancers (Biorender Agreement No. OX272ZMRSN). B USFDA-approved AI-based radiological software systems used breast and Miscellaneous cancers (Biorender Agreement No. RH272ZRN58)
Fig. 5
Fig. 5
FDA-approved AI-based diagnostic tools for cancer care: enhancing diagnosis and personalized treatment (Biorender Agreement Numbers. LL28329KSD, AQ282ZMGYI, GE28302QB7 & RE2830N3V5)
Fig. 5
Fig. 5
FDA-approved AI-based diagnostic tools for cancer care: enhancing diagnosis and personalized treatment (Biorender Agreement Numbers. LL28329KSD, AQ282ZMGYI, GE28302QB7 & RE2830N3V5)
Fig. 6
Fig. 6
AI applications in digital health care and oncology. Source: [Compiled by the author Eashwar Sai Komarla Rajasekhar]. This figure presents various applications of artificial intelligence (AI) in digital health care and oncology, illustrating how AI technologies are transforming cancer diagnosis, treatment, and patient management
See this image and copyright information in PMC

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