Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia

Sushmita Adhikari; Iftikhar Ahmed; Deepak Bajracharya; Bishesh Khanal; Chandrasegarar Solomon; Kapila Jayaratne; Khondaker Abdullah Al Mamum; Muhammad Shamim Hayder Talukder; Sunila Shakya; Suresh Manandhar; Zahid Ali Memon; Moinul Haque Chowdhury; Ihtisham ul Islam; Noor Sabah Rakhshani; M. Imran Khan

doi:10.1038/s41746-025-01534-0

Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia

Sushmita Adhikari
, Iftikhar Ahmed
, Deepak Bajracharya
, Bishesh Khanal
, Chandrasegarar Solomon
, Kapila Jayaratne
, Khondaker Abdullah Al Mamum
, Muhammad Shamim Hayder Talukder
, Sunila Shakya
, Suresh Manandhar
, Zahid Ali Memon
, Moinul Haque Chowdhury
, Ihtisham ul Islam
, Noor Sabah Rakhshani
, M. Imran Khan

Research output: Contribution to journal › Review article › peer-review

14 Citations (Scopus)

Abstract

AI can transform healthcare in LMICs by improving access, reducing costs, and enhancing efficiency. However, challenges such as safety, bias, and the resource constraints need to be addressed. Further, collaboration across domains is essential to develop capacity, user-friendly tools, and training. Ethical considerations should be central to AI deployment. By emphasizing gender equity, fairness, and responsible design, LMICs can harness AI’s power to enhance healthcare outcomes and advance equitable care.

Original language	English (US)
Article number	139
Journal	npj Digital Medicine
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41746-025-01534-0
Publication status	Published - Dec 2025

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Adhikari, S., Ahmed, I., Bajracharya, D., Khanal, B., Solomon, C., Jayaratne, K., Mamum, K. A. A., Talukder, M. S. H., Shakya, S., Manandhar, S., Memon, Z. A., Chowdhury, M. H., ul Islam, I., Rakhshani, N. S., & Khan, M. I. (2025). Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia. npj Digital Medicine, 8(1), Article 139. https://doi.org/10.1038/s41746-025-01534-0

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abstract = "AI can transform healthcare in LMICs by improving access, reducing costs, and enhancing efficiency. However, challenges such as safety, bias, and the resource constraints need to be addressed. Further, collaboration across domains is essential to develop capacity, user-friendly tools, and training. Ethical considerations should be central to AI deployment. By emphasizing gender equity, fairness, and responsible design, LMICs can harness AI{\textquoteright}s power to enhance healthcare outcomes and advance equitable care.",

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doi = "10.1038/s41746-025-01534-0",

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Adhikari, S, Ahmed, I, Bajracharya, D, Khanal, B, Solomon, C, Jayaratne, K, Mamum, KAA, Talukder, MSH, Shakya, S, Manandhar, S, Memon, ZA, Chowdhury, MH, ul Islam, I, Rakhshani, NS & Khan, MI 2025, 'Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia', npj Digital Medicine, vol. 8, no. 1, 139. https://doi.org/10.1038/s41746-025-01534-0

TY - JOUR

T1 - Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia

AU - Adhikari, Sushmita

AU - Ahmed, Iftikhar

AU - Bajracharya, Deepak

AU - Khanal, Bishesh

AU - Solomon, Chandrasegarar

AU - Jayaratne, Kapila

AU - Mamum, Khondaker Abdullah Al

AU - Talukder, Muhammad Shamim Hayder

AU - Shakya, Sunila

AU - Manandhar, Suresh

AU - Memon, Zahid Ali

AU - Chowdhury, Moinul Haque

AU - ul Islam, Ihtisham

AU - Rakhshani, Noor Sabah

AU - Khan, M. Imran

PY - 2025/12

Y1 - 2025/12

N2 - AI can transform healthcare in LMICs by improving access, reducing costs, and enhancing efficiency. However, challenges such as safety, bias, and the resource constraints need to be addressed. Further, collaboration across domains is essential to develop capacity, user-friendly tools, and training. Ethical considerations should be central to AI deployment. By emphasizing gender equity, fairness, and responsible design, LMICs can harness AI’s power to enhance healthcare outcomes and advance equitable care.

AB - AI can transform healthcare in LMICs by improving access, reducing costs, and enhancing efficiency. However, challenges such as safety, bias, and the resource constraints need to be addressed. Further, collaboration across domains is essential to develop capacity, user-friendly tools, and training. Ethical considerations should be central to AI deployment. By emphasizing gender equity, fairness, and responsible design, LMICs can harness AI’s power to enhance healthcare outcomes and advance equitable care.

UR - https://www.scopus.com/pages/publications/86000042447

U2 - 10.1038/s41746-025-01534-0

DO - 10.1038/s41746-025-01534-0

M3 - Review article

AN - SCOPUS:86000042447

SN - 2398-6352

VL - 8

JO - npj Digital Medicine

JF - npj Digital Medicine

IS - 1

M1 - 139

ER -

Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia

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