Measuring the Effectiveness of AI Tools in Clinical Research and Writing: A Case Study in Healthcare

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Sani Salisu
Osamah Mohammed Alyasiri
Hussain A. Younis
Thaeer Mueen Sahib
Ahmed Hussein Ali
Ameen A Noor
Israa M. Hayder


 This article investigates the capabilities and limitations of ChatGPT, a natural language processing (NLP) tool, and large language models (LLMs), developed from advanced artificial intelligence (AI). Designed to help computers understand and produce text understandable by humans, ChatGPT is particularly aimed at general scientific writing and healthcare research applications. Our methodology involved searching the Scopus database for ’type 2 diabetes’ and ’T2 diabetes’ articles from reputable journals. After eliminating duplicates, we used ChatGPT to formulate conclusions for each selected article by inputting their structured abstracts, excluding the original conclusions. Additionally, we tested ChatGPT’s response to simple misuse scenarios. Our findings show that ChatGPT can accurately grasp context and concisely summarize primary research findings. Additionally, it helps individuals who are not as experienced in mathematical analysis by providing coding guidelines for mathematical analyses in a variety of computer languages and by demystifying difficult model results. In conclusion, even if ChatGPT and other AI technologies are revolutionizing scientific publishing and healthcare, their use should be strictly controlled by authoritative laws.


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How to Cite
Salisu, S., Mohammed Alyasiri, O., A. Younis, H., Mueen Sahib, T., Hussein Ali, A., A Noor, A., & M. Hayder, I. (2024). Measuring the Effectiveness of AI Tools in Clinical Research and Writing: A Case Study in Healthcare. Mesopotamian Journal of Artificial Intelligence in Healthcare, 2024, 8–15.
Author Biography

Osamah Mohammed Alyasiri, Karbala Technical Institute, Al-Furat Al-Awsat Technical University, 56001, Karbala

OSAMAH MOHAMMED ALYASIRI received the B.Sc. degree in computer science from Mustansiriyah University, Iraq, in 2009, and the M.Sc. degree in computer science from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU) University, India, in 2013, He is currently pursuing a Ph.D. degree with the School of Computer Sciences, Universiti Sains Malaysia. He is also a Lecturer at Al-Furat Al-Awsat Technical University, Karbala Technical Institute, Department of Computer Systems Techniques, Iraq. His research interests include artificial intelligence, optimization, pattern recognition, text classification, information retrieval, machine learning, and feature selection.