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Artificial Intelligence Utilization Patterns, Perceptions, and Applications Among Doctors in Bangladesh: A Pilot Survey

Artificial Intelligence Adoption Among Bangladeshi Doctors Centers on ChatGPT for Research and Learning Artificial intelligence adoption among doctors in Bangladesh focuses heavily on educational and research tasks, with 93.1% of practitioners using ChatGPT, according to a pilot study…

Artificial Intelligence Utilization Patterns, Perceptions, and Applications Among Doctors in Bangladesh: A Pilot Survey

Artificial Intelligence Adoption Among Bangladeshi Doctors Centers on ChatGPT for Research and Learning

Artificial intelligence adoption among doctors in Bangladesh focuses heavily on educational and research tasks, with 93.1% of practitioners using ChatGPT, according to a pilot study published in Cureus.

Survey Demographics and High ChatGPT Reliance

The cross-sectional, internet-based survey gathered responses from 58 doctors. Female respondents accounted for 51.7% (30 participants) and male respondents made up 48.3% (28 participants). The majority of participants fell into the 25-to-34-year age bracket at 62.0% (36 respondents), followed by the 35-to-44-year age group at 32.8% (19 respondents), and the 45-to-54-year group at 5.2% (3 respondents). By professional standing, postgraduate trainees dominated the pool at 72.4% (42 respondents), alongside specialists at 25.9% (15 respondents) and one FCPS final part examinee.

When asked about specific software preferences, respondents pointed overwhelmingly to OpenAI’s ChatGPT. Beyond the dominant platform, smaller cohorts reported using Claude at 12.1%, Gemini at 8.6%, and NotebookLM at 6.9%. Niche tools like GrokAI and SciSpace each registered 3.4%, while Perplexity, Copilot, Microsoft 365 AI, and proprietary Google tools each captured 1.7% of users. Multiple selections were permitted, driving the cumulative total above 100%.

Diverging Frequencies Across Learning, Research, and Clinics

Usage patterns split significantly depending on the medical domain. Medical learning drew the highest engagement: 53.4% of doctors used AI tools for less than half of their educational tasks, while 31.0% relied on AI for more than half. Another 12.1% used AI constantly for learning, and 3.4% never touched it.

Research activities followed a similar trajectory. A total of 41.4% of respondents utilized AI for under 50% of their research work, whereas 36.2% crossed the halfway threshold. Active researchers turning to AI all the time sat at 12.1%, while 10.3% completely avoided AI for research.

Clinical practice recorded the lowest integration rates. Most doctors, 67.2%, used AI tools for less than half of their clinical duties. Only 15.5% relied on AI for more than half of their clinical work, 13.8% never used it with patients, and 3.4% integrated AI constantly into daily practice.

Domain < 50% Usage > 50% Usage Always Used Never Used
Medical Learning 53.4% 31.0% 12.1% 3.4%
Research Activities 41.4% 36.2% 12.1% 10.3%
Clinical Practice 67.2% 15.5% 3.4% 13.8%

Specific Applications in Literature Reviews and Symptom Analysis

Doctors directed AI toward distinct administrative and academic tasks depending on the setting. In medical learning, casual reading topped the list at 62.1%, followed by presentation preparation at 41.4%, exam question drafting at 37.9%, and note-making at 32.8%.

Within research, literature reviews emerged as the primary use case at 62.1%, closely trailed by protocol writing at 58.6%. Topic selection and statistical analysis each drew 44.8% of respondents, while sample size calculation accounted for 37.9%. For clinical environments, symptom analysis led the applications at 60.3%, though respondents emphasized that these outputs served strictly as supplementary aids rather than primary diagnostic decisions.

Future Integration Challenges and Cautious Opinions

The study highlights a distinct paradox among Bangladeshi medical professionals: while appreciation for AI’s efficiency is high, anxiety regarding professional obsolescence persists. A notable fraction of surveyed doctors expressed concern that advanced machine learning systems could eventually replace human practitioners.

Frequently Asked Questions

How many doctors participated in the Cureus study on AI adoption?

A total of 58 doctors completed the internet-based survey out of approximately 500 members in the target WhatsApp distribution group, giving a participation rate of 11.6%.

Which AI platform was most popular among the surveyed physicians?

ChatGPT was the dominant tool, reported by 93.1% of the respondents, followed by Claude at 12.1% and Gemini at 8.6%.

In which domain did Bangladeshi doctors use AI the least?

Clinical practice recorded the lowest utilization, with 67.2% of doctors using AI tools for less than 50% of their clinical duties and 13.8% never using them in patient care.

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About the author: Dr Natalie Singh - Health Editor

Board‑certified internal‑medicine physician and MPH. Natalie authored peer‑reviewed studies on infectious disease and served as medical editor. “Dr. Natalie Singh delivers evidence‑based health news, medical breakthroughs, and expert wellness guidance.”