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Transforming cancer care in emerging economies: India’s AI innovation

https://doi.org/10.47093/3034-4700.2026.3.2.103

Abstract

Cancer remains a major public health challenge across BRICS member countries. Together, these countries represent more than 40% of the global population and account for approximately 9.0 million new cancer cases and 4.66 million cancer deaths. This review aims to summarize cancer epidemiology across the 11 BRICS member countries, with emphasis on breast and ovarian cancers, describe India’s cancer-control and digital-health architecture, and assess the evidence and translational potential of iOncology.ai. Cancer patterns and access to screening, early diagnosis, and specialist oncology care vary across member countries. Breast cancer is among the leading malignancies affecting women and is the leading female cancer in most BRICS countries. Ovarian cancer is less common but is frequently diagnosed at advanced stages and is associated with poor outcomes. In India, cancer-control activities are delivered through the National Health Mission, the National Programme for Prevention and Control of Non-Communicable Diseases, and complementary surveillance, population-based screening, tertiary-care, and financial-protection mechanisms. The Viksit Bharat 2047 vision and Digital India programme provide a policy context for digital health development, including the Ayushman Bharat Digital Mission. Within this ecosystem, iOncology.ai is an national artificial-intelligence platform undergoing pilot-stage clinical validation and implementation evaluation. The review also identifies priorities for collaborative digital oncology in the context of India’s BRICS Chairship in 2026.  

 

About the Authors

Ashok Sharma
All India Institute of Medical Sciences (AIIMS)
India

Ashok Sharma, PhD, Professor

New Delhi, 110029, India



Alisha Behera
All India Institute of Medical Sciences (AIIMS)
India

Alisha Behera, MSc, SRF

New Delhi, 110029, India



Sahar Qazi
All India Institute of Medical Sciences (AIIMS)
India

Sahar Qazi, PhD, Scientist-B

New Delhi, 110029, India



Samanvaya Gupta
Netaji Subhas University of Technology (NSUT)
India

Samanvaya Gupta, BTech Student, Computer Science with specialization in Artificial Intelligence

New Delhi, 110078, India



Ekta Dhamija
All India Institute of Medical Sciences (AIIMS)
India

Ekta Dhamija, MD, Professor

New Delhi, 110029, India



Rambha Pandey
All India Institute of Medical Sciences
India

Rambha Pandey, MD, Professor

New Delhi, 110029, India



Kunhi Parambath Haresh
All India Institute of Medical Sciences (AIIMS)
India

Kunhi Parambath Haresh, MD, Professor

New Delhi, 110029, India



Lakshmy Panat
Centre for Development of Advanced Computing
India

Lakshmi Panat, BE, Scientist G

Pune, Maharashtra, 411007, India



Yenishetti Swapna
Centre for Development of Advanced Computing
India

Yenishetti Swapna, BTech, Scientist E

Pune, Maharashtra, 411007, India



Babita Kataria
National Cancer Institute, AIIMS
India

Babita Kataria, DM, Assistant Professor

Jhajjar Campus, Haryana, AIIMS, New Delhi, 124105, India



Jyoti Sharma
National Cancer Institute, AIIMS
India

Jyoti Sharma, MCh, Associate Professor

Jhajjar Campus, Haryana, AIIMS, New Delhi, 124105, India



Aarthi S. Jayraj
National Cancer Institute, AIIMS
India

Aarthi S Jayraj, MCh, Assistant Professor

Jhajjar Campus, Haryana, AIIMS, New Delhi, 124105, India



Karun Kamboj
National Cancer Institute, AIIMS
India

Karun Kamboj, MD, Assistant Professor

Jhajjar Campus, Haryana, AIIMS, New Delhi, 124105, India



M. D. Ray
All India Institute of Medical Sciences (AIIMS)
India

M.D Ray, MD, PhD, Professor

New Delhi, 110029, India



Sachin Khurana
All India Institute of Medical Sciences (AIIMS)
India

Sachin Khurana, MD, Professor

New Delhi, 110029, India



Atul Batra
All India Institute of Medical Sciences (AIIMS)
India

Atul Batra, MD, Professor

New Delhi, 110029, India



Ashutosh Mishra
All India Institute of Medical Sciences (AIIMS)
India

Ashutosh Mishra, MCh, Additional Professor

New Delhi, 110029, India



Fouzia Siraj
ICMR-Centre for Cancer Pathology
India

Fouzia Siraj, MD, Scientist E and In-charge of the Pathology Lab

New Delhi, 110029, India



Arun Kumar
Mahavir Cancer Sansthan & Research Center
India

Arun Kumar, PhD, Senior Scientist

Patna, Bihar, 801505, India



Jai Bhagwan Sharma
All India Institute of Medical Sciences (AIIMS)
India

Jai Bhagwan Sharma, MD, PhD, Professor

New Delhi, 110029, India



Shyam S. Chauhan
All India Institute of Medical Sciences (AIIMS)
India

Shyam S. Chauhan, PhD, Professor and ICMR-Dr A.S. Paintal Distinguished Scientist Chair

New Delhi, 110029, India



Gaura Kishor Rath
All India Institute of Medical Sciences (AIIMS)
India

Gaura Kishor Rath, MD, DSc, Professor

New Delhi, 110029, India



References

1. Bray F, Laversanne M, Weiderpass E, Soerjomataram I. The ever-increasing importance of cancer as a leading cause of premature death worldwide. Cancer. 2021;127(16):3029-3030. doi:10.1002/cncr.33587

2. Sung H, Filho AM, Laversanne M, et al. Global cancer statistics 2024: GLOBOCAN estimates of incidence and mortality worldwide for 34 cancers in 186 countries. CA Cancer J Clin. 2026;76(4):e70090. doi:10.3322/caac.70090

3. Goss PE, Strasser-Weippl K, Lee-Bychkovsky BL, et al. Challenges to effective cancer control in China, India, and Russia. Lancet Oncol. 2014;15(5):489-538. doi:10.1016/S1470-2045(14)70029-4

4. Soerjomataram I, Bray F. Planning for tomorrow: global cancer incidence and the role of prevention 2020–2070. Nat Rev Clin Oncol. 2021;18(10):663-672. doi:10.1038/s41571-021-00514-z

5. Pramesh CS, Badwe RA, Bhoo-Pathy N, et al. Priorities for cancer research in low- and middle-income countries: a global perspective. Nat Med. 2022;28(4):649-657. doi:10.1038/s41591-022-01738-x

6. Mallath MK, Taylor DG, Badwe RA, et al. The growing burden of cancer in India: epidemiology and social context. Lancet Oncol. 2014;15(6):e205-e212. doi:10.1016/S1470-2045(14)70115-9

7. Nath A, Taneja R, Thadi YS, Sarveswaran G, Mathur P. A comparative study of incidence, mortality and disability adjusted life years (DALYs) for leading cancers in BRICS countries. ecancermedicalscience. 2024;18. doi:10.3332/ecancer.2024.1773

8. Pearce A, Sharp L, Hanly P, et al. Productivity losses due to premature mortality from cancer in Brazil, Russia, India, China, and South Africa (BRICS): A population-based comparison. Cancer Epidemiol. 2018;53:27-34. doi:10.1016/j.canep.2017.12.013

9. Cravo Neto DB, Santini De Oliveira M, Santos SLDX, et al. The BRICS Partnership for the Elimination of Socially Determined Diseases: a multilateral agenda to health equity. BRICS Health J. 2025;2(3):60-71. doi:10.47093/3034-4700.2025.2.3.60-71

10. Oswal K, Gaurav K, Pradhan A, Ramachandran V, Sebastian P, Basu P. Current Status of Implementation of Cancer Screening Programme in India: A Review of Policies and Practice. Asian Pac J Cancer Prev. 2025;26(4):1117-1128. doi:10.31557/APJCP.2025.26.4.1117

11. Debnath S, Pal P, Singh AK, et al. Epidemiological profile of patients with malignant neoplasm admitted to a tertiary care center in India: a retrospective cross-sectional study. Front Oncol. 2025;15:1636807. doi:10.3389/fonc.2025.1636807

12. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. doi:10.1038/s41591-018-0300-7

13. Rajkomar A, Dean J, Kohane I. Machine learning in medicine. N Engl J Med. 2019;380(14):1347-1358. doi:10.1056/NEJMra1814259

14. Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med. 2019;25(1):24-29. doi:10.1038/s41591-018-0316-z

15. He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nat Med. 2019;25(1):30-36. doi:10.1038/s41591-018-0307-0

16. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230-243. doi:10.1136/svn-2017-000101

17. Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019;17(1):195. doi:10.1186/s12916-019-1426-2

18. A Path for Translation of Machine Learning Products into Healthcare Delivery. EMJ Innov. Published online January 27, 2020. doi:10.33590/emjinnov/19-00172

19. Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future Healthc J. 2021;8(2):e188-e194. doi:10.7861/fhj.2021-0095

20. Campanella G, Hanna MG, Geneslaw L, et al. Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat Med. 2019;25(8):1301-1309. doi:10.1038/s41591-019-0508-1

21. McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020;577(7788):89-94. doi:10.1038/s41586-019-1799-6

22. Goel I, Bhaskar Y, Kumar N, et al. Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation. Front Digit Health. 2025;7:1550407. doi:10.3389/fdgth.2025.1550407

23. Meena JK, Yadav K, Mehrotra R. Implementing cancer prevention strategies in India: progress, persistent challenges and future directions. ecancermedicalscience. 2025;19. doi:10.3332/ecancer.2025.2042

24. Mathur P, Sathishkumar K, Chaturvedi M, et al. Cancer Statistics, 2020: Report From National Cancer Registry Programme, India. JCO Glob Oncol. 2020;(6):1063-1075. doi:10.1200/GO.20.00122

25. Narayan A, Bhushan I, Schulman K. India’s evolving digital health strategy. Npj Digit Med. 2024;7(1):284. doi:10.1038/s41746-024-01279-2

26. Kankaria A, Shukla P, Vijayakumar M, et al. Enhancing screening, early diagnosis and treatment initiation of oral, breast and cervical cancer in selected districts of India: an implementation research protocol. BMJ Open. 2026;16(6):e112428. doi:10.1136/bmjopen-2025-112428

27. Smrithi NS, Sumit K, Zubair SM. A qualitative study on users’ perspective on the functioning of the National Non-Communicable disease portal in Dakshina Kannada district, Karnataka. BMC Health Serv Res. 2026;26(1):104. doi:10.1186/s12913-026-14008-0

28. Menon KV, Victor V, Vaidya OS. Does integrating pharmaceutical coverage into publicly financed health insurance reduce out-of-pocket spending? Difference-in-differences evidence from Kerala, India. Soc Sci Med. 2026;404:119483. doi:10.1016/j.socscimed.2026.119483

29. Mukherjee P, Das A, Banerjee A, Mitra K, Das D. A Cross-sectional Study on Awareness and Utilisation of Government Health Insurance Schemes among Patients at a Tertiary Level Hospital in Kolkata, India. J Clin Diagn Res. Published online 2024. doi:10.7860/JCDR/2024/66294.19042

30. Wadasadawala T, Mohanty SK, Sen S, et al. Out-of-pocket payment and financial risk protection for breast cancer treatment: a prospective study from India. Lancet Reg Health – Southeast Asia. 2024;24:100346. doi:10.1016/j.lansea.2023.100346

31. Gangadharam T, Radhika K. Evaluating government health insurance schemes: reducing the cost burden of cancer treatment for vulnerable populations in Andhra Pradesh. Indian Dev Econ Rev. 2025;1(2):165-177. doi:10.47509/IDER.2025.v01i02.04

32. Mahajan H, Reddy N, Devi NGM, et al. Projected cancer burden, challenges, and barriers to cancer prevention and control activities in the state of Telangana. Janardhanan R, ed. PLOS One. 2023;18(7):e0278357. doi:10.1371/journal.pone.0278357

33. S. P, Shastri SG, P. K. S, et al. Road to universal health coverage: unique model of Karnataka, India. Int J Community Med Public Health. 2023;10(5):1947-1954. doi:10.18203/2394-6040.ijcmph20231301

34. Trivedi M, Saxena A, Shroff Z, Sharma M. Experiences and challenges in accessing hospitalization in a government-funded health insurance scheme: Evidence from early implementation of Pradhan Mantri Jan Aarogya Yojana (PM-JAY) in India. Garg CC, ed. PLOS One. 2022;17(5):e0266798. doi:10.1371/journal.pone.0266798

35. Singh S, Rathore M, Raj A. Utilization patterns of Chiranjeevi Swasthya Bima Yojana in Rajasthan during financial year 2023 to 2024: a cross-sectional study at a tertiary care hospital. Int J Community Med Public Health. 2024;11(11):4367-4372. doi:10.18203/2394-6040.ijcmph20243300

36. Thapliyal N, Bassi S, Bahl D, et al. A Scoping Review of Existing Policy Instruments to Tackle Overweight and Obesity in India: Recommendations for a Social and Behaviour Change Communication Strategy. F1000Research. 2024;13:496. doi:10.12688/f1000research.149857.2

37. Dash S, Shakyawar SK, Sharma M, Kaushik S. Big data in healthcare: management, analysis and future prospects. J Big Data. 2019;6(1):54. doi:10.1186/s40537-019-0217-0

38. Kvedar JC, Fogel AL, Elenko E, Zohar D. Digital medicine’s march on chronic disease. Nat Biotechnol. 2016;34(3):239-246. doi:10.1038/nbt.3495

39. Bhattacharya S, Gopal KM, Garg S. Sustaining Current Policies and Introducing New Initiatives: Strategic Five-year Plan for the Government of India. J Epidemiol Found India. 2024;2(3):134-143. doi:10.56450/JEFI.2024.v2i03.010

40. Mishra US, Yadav S, Joe W. The Ayushman Bharat Digital Mission of India: An Assessment. Health Syst Reform. 2024;10(2):2392290. doi:10.1080/23288604.2024.2392290

41. Inampudi S, Rajkumar E, Gopi A, Vany Mol KS, Sruthi KS. Barriers to implementation of digital transformation in the Indian health sector: a systematic review. Humanit Soc Sci Commun. 2024;11(1):632. doi:10.1057/s41599-024-03081-7

42. Bates DW, Wright A. Evaluating eHealth: Undertaking Robust International Cross-Cultural eHealth Research. Sheikh A, ed. PLoS Med. 2009;6(9):e1000105. doi:10.1371/journal.pmed.1000105

43. Lekadir K, Frangi AF, Porras AR, et al. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ. 2025;388:e081554. doi:10.1136/bmj-2024-081554


Review

For citations:


Sharma A., Behera A., Qazi S., Gupta S., Dhamija E., Pandey R., Haresh K.P., Panat L., Swapna Ye., Kataria B., Sharma J., Jayraj A.S., Kamboj K., Ray M.D., Khurana S., Batra A., Mishra A., Siraj F., Kumar A., Sharma J.B., Chauhan Sh.S., Rath G.K. Transforming cancer care in emerging economies: India’s AI innovation. The BRICS Health Journal. 2026;3(2):49-69. https://doi.org/10.47093/3034-4700.2026.3.2.103

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ISSN 3034-4700 (Print)
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