Toki Tahmid Inan

TL;DR: In this paper, the authors summarized the recent AI and ML-based studies that have addressed the pandemic and identified seven future research directions that would guide researchers to conduct future research, including developing new treatment options, explore the contextual effect and variation in research outcomes, support the health care workforce, and explore the effect of research outcomes based on different types of data.

TL;DR: The findings suggest that the usability of the mobile health apps in Bangladesh is not satisfactory in general and could be a potential barrier for wider adoption of mobile health services.

TL;DR: In this paper, the authors investigated the usability of mobile health applications in Bangladesh and found that 61% of the usability problems are catastrophe or major in nature from heuristic inspection and the most violated heuristic is aesthetic and minimalist design.

TL;DR: In this paper, the authors provide the underlying assumptions of digital inequality in developing countries and propose a solution to combat the perpetuation of national development and significantly exists in the developing countries.

TL;DR: This review study summarized the recent AI and ML based studies that have focused to fight against COVID-19 pandemic and focused on the uses of AI/ML in analyzing the pandemic data in order to depict the most recent progress of AI for fighting against COIDs.