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

Samaj Adhikari, Iftikhar Ahmad, Deepak Bajracharya, Bishesh Khanal, Chandrasegarar Solomon, Kapila Jayaratne, Khondaker Abdullah Al Mamum, Muhammad Shamim Hayder Talukder, Sunila Shakya, Suresh Manandhar, Zahid Memon, Md. Fazlul Karim Chowdhury, Ihtesham ul Islam, Noor Sabah Rakhshani, Md Imran Khan

2025npj Digital Medicine15 citationsDOIOpen Access PDF

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.

Topics & Concepts

Software deploymentEquity (law)Health careBusinessQuality (philosophy)Limited resourcesRisk analysis (engineering)Computer scienceKnowledge managementPolitical scienceEconomic growthEconomicsLawOperating systemEpistemologyPhilosophyArtificial Intelligence in Healthcare and EducationHealthcare cost, quality, practicesHealthcare Systems and Reforms