American
International
University-
Bangladesh

Students & Supervisors

Abstract

Artificial Intelligence (AI) applied into healthcare systems has revolutionized the medical practice around the world, enhancing diagnosis and accuracy in treatment, as well as efficiency of patient care. In Bangladesh, where resources are scarce and healthcare is inaccessible for a large number of people, AI based solutions have huge prospects. However, to really appreciate the process of innovation as adoption and impact taking place in this setting we need a systematic analysis of performance indicators over time. The 1994-2023 dataset sheds light on innovation indices, research output, adoption rates, simulation accuracy, and impact scores thus demonstrating the rise of computer science-driven healthcare systems in Bangladesh and global technological trends. Aim It is aimed at assessing how computer science contributes toward leading the innovation, adoption, and participation in research contributions; examining the accuracy of simulation and its relevance to healthcare reliability; and analyzing the overall implications of AI-driven healthcare models on national ecosystems including academia. A longitudinal data analysis was performed on a 30-year database (1994–2023) of innovation index, research output, adoption rate, simulation accuracy and impact score to understand micro model evolution trends by identifying patterns and correlations. Trend analysis and comparing the growth phase with stagnation phases are used. The emphasis was on linking technological innovation with actual uptake in health care. There were also substantial increases in quantitative statistics such as patterns of innovation (index in 2021 = 95.51) and rates of adoption (2011 = 89.11%). The results provide a non-linear, yet steady evolution of AI in healthcare sector in Bangladesh. Between 1994 and 2000 there was modest innovation and low rates of adoption, in large part because of techno logical immaturity. The growth rates increased in between the years of 2001 and 2011 reaching to a peak value of 89.11% in the year 2011, confirming successful penetration of simulation-based approaches. The indices of innovation were about 94.47 and 95.51, respectively for 2014 and 2021, which showed the great research impetus. Adoption did decrease in 2018 and again in 2023 as research continues, implementation challenges are evident. Overall simulation accuracy ranged from 60% to over 90% in different years, suggesting clinical reliability. Impact ratings increased slowly but peaked in 2007 (9.71), 2005 (8.83) and 2021(8.21) corresponding with key levels of adoption. In conclusion, smart healthcare empowered by AI in Bangladesh has been greatly improved as a full-fledged computer science research and technology used. However, spotty uptake exposes hurdles such as infrastructure problems, expense and training shortfalls. It is important to balance the implementation pathway as well as the alignment of research with practical needs is pivotal for sustainable AI incorporation into healthcare. This study illustrates the opportunities of AI in helping to enhance access and quality of health services in middle-income countries such as Bangladesh.

Keywords

Publication Details

• Type of Publication:
• Conference Name: 7th International Conference on Integrated Sciences (ICIS) 2025
• Date of Conference: 25/10/2025 - 25/10/2025
• Venue: Eastern University, Dhaka, Bangladesh
• Organizer: Eastern University, Dhaka, Bangladesh