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Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies

Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies

Ten clinical conditions were selected based on their global and LMIC-specific prevalence. These comprised 5 conditions that are mostly observed in adults, and 5 that are mostly observed in children. Adult conditions were selected based on a recent analysis into the causes of blindness within the region [12], the top contributors of blindness were selected in order of prevalence: cataract (46%), glaucoma (14%), trachoma (5%), and diabetic retinopathy (2%).

Shona Alex Tapiwa M'gadzah, Andrew O'Malley

JMIR Form Res 2025;9:e64986

Investigating Awareness and Acceptance of Digital Phenotyping in Dhaka’s Korail Slum: Qualitative Study

Investigating Awareness and Acceptance of Digital Phenotyping in Dhaka’s Korail Slum: Qualitative Study

These methodologies, however, need to be adapted for LMIC settings, where cultural norms, technological access, and health care infrastructure differ markedly. For instance, communication patterns, social interactions, and even the use of technology can differ widely between populations in HICs and those in LMICs [3]. There is often a lack of understanding and awareness about digital health technologies among the general population and health care providers in LMICs [3].

Nadia Alam, Domenico Giacco, Bulbul Siddiqi, Swaran P Singh, Sagar Jilka

JMIR Form Res 2025;9:e65530

Qualitative Evaluation of mHealth Implementation for Infectious Disease Care in Low- and Middle-Income Countries: Narrative Review

Qualitative Evaluation of mHealth Implementation for Infectious Disease Care in Low- and Middle-Income Countries: Narrative Review

We took LMIC search terms from the Cochrane Effective Practice and Organisation of Care LMIC filters, defined according to the World Bank Classification (2022) [24]. We did not restrict the type of participants in the intervention (ie, we included health workers, patients, carers, general community members, and multiple types of participants). Intervention: We defined m Health interventions as per the WHO [6].

Josephine Greenall-Ota, H Manisha Yapa, Greg J Fox, Joel Negin

JMIR Mhealth Uhealth 2024;12:e55189

Cybersecurity Interventions in Health Care Organizations in Low- and Middle-Income Countries: Scoping Review

Cybersecurity Interventions in Health Care Organizations in Low- and Middle-Income Countries: Scoping Review

We included any health care–focused study undertaken in (1) an LMIC country that (2) described 1 or multiple interventions related to cyberattacks or cybersecurity (Textbox 1). Only studies published in English were included. Feasibility studies, commentaries, and editorial papers were excluded.

Kaede Hasegawa, Niki O'Brien, Mabel Prendergast, Chris Agape Ajah, Ana Luisa Neves, Saira Ghafur

J Med Internet Res 2024;26:e47311