Artificial intelligence for equitable remote patient monitoring in low-resource health systems

Affiliations

Md Shafe Ul Alam et al. Ann Med Surg (Lond). 2025.

. 2025 Oct 27;87(12):9165-9166.

doi: 10.1097/MS9.0000000000004193. eCollection 2025 Dec.

¹ Department of Health Sciences and Informatics, Bangladesh Institute of Innovative Health Research, Mirpur, Dhaka, Bangladesh.

No abstract available

Conflict of interest statement

The author declares no conflicts of interest related to this manuscript.

1. Transparency in the reporting of Artificial INtelligence – the TITAN guideline. Premier Science. Accessed 4 September 2025. https://premierscience.com/pjs-25-950/
1. WHO. Assessing National Capacity for the Prevention and Control of Noncommunicable Diseases: report of the 2021 Global Survey. World Health Organization; 2023. Accessed 14 April 2025. https://www.who.int/publications/i/item/9789240071698
1. Ahmed Md F. Addressing non-communicable diseases in Bangladesh: a perspective on lifestyle changes and public health strategies. J Innov Health Res 2025;1:4–8.
1. De Guzman KR, Snoswell CL, Taylor ML, et al. Economic evaluations of remote patient monitoring for chronic disease: a systematic review. Value Health 2022;25:897–913. - PubMed
1. Smith W, Colbert BM, Namouz T, et al. Remote patient monitoring is associated with improved outcomes in hypertension: a large, retrospective, cohort analysis. Healthcare 2024;12:1583. - PMC - PubMed