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Peace be upon you and God’s mercy, esteemed audience.
By God’s grace, a research paper I supervised as lead researcher has been published in JMIR Medical Education, the highest-ranked journal globally in the field of education for experimental science disciplines. I wanted to share this joy with you, especially since this achievement comes after God’s favor following my participation in publishing four other research papers in international journals through the research supervision program I oversee via "Madwan Academy."
These research papers are the culmination of over a year of effort, during which I and a team of colleagues supervised trainees eager to master scientific research. Five teams successfully published respected research papers, making this program exceptional in its outcomes across Arab countries, by God’s will.
For colleagues interested in scientific research, I will explain more about our latest study. For brothers outside the research and medical fields, in brief: in this study, we evaluated the performance of 326 physicians from 39 countries in a test containing medical cases. We then exposed them to a course I prepared on employing artificial intelligence for medical applications.
Afterward, we allowed them to use artificial intelligence (AI) in the correct guided manner in a "post-test" containing medical cases as well. The average performance improved from 57% to 78%, and their confidence and willingness to employ AI in their medical practice increased.
For colleagues in medical specialties and researchers, the study’s title is: "Effectiveness of Guided AI Use on the Clinical Proficiency of General Practitioners and Internists: A Pre-Post Interventional Study" (Effectiveness of guided AI use on the clinical proficiency of general practitioners and internists: A pre-post interventional study).
In this study, we recruited physicians and asked them to take a pre-test consisting of seven clinical cases across different systems such as (Endocrine, Musculoskeletal, Hematology), assessing physicians' skills in diagnosis, treatment, and patient counseling. We also evaluated their opinions through a perception questionnaire measuring their assessment of AI accuracy in medical tasks and their confidence in using it.
They were then exposed to the aforementioned course on AI applications in medicine. Afterward, they took a different post-test clinical exam where they could use AI as they had learned, and we re-administered the perception questionnaire using a crossover design to minimize the impact of difficulty differences. This means one group took Test A, then the course, then Test B, while the other group took Test B, then the course, then Test A.
We evaluated changes in their clinical test performance in terms of overall scores, time taken to complete the test, and their attitudes toward AI. The results showed significant improvements in their overall clinical test performance, as well as in diagnosis, treatment, and patient counseling skills. Their confidence in AI increased when used accurately, as did their willingness to use it in medical practice.
The research is truly distinguished, as noted by the reviewers. Its key strengths include:
The study is also distinguished by the team that worked on it. My colleague and friend Dr. Ayman Al-Qana assisted me in supervision; he is an outstanding researcher with an extensive research record, an editor and reviewer for several journals, and an exceptional statistical analyst. As a result, we received no comments from this journal or others where we published regarding the statistical analysis, as it was meticulously executed from the start.
Also part of the team were trainees from five countries who enriched the research (from Egypt, Lebanon, the UAE, Qatar, and Jordan) and diverse specialties: medicine, nursing, public health, and respiratory therapy. I would like to emphasize that this research is the fruit of a collective effort in which our esteemed trainee colleagues played a major role, particularly in selecting and preparing medical cases and organizing data.
Another distinguishing feature of the research is that it establishes the concept of an evidence-based AI course—meaning the course we delivered has been empirically proven effective. I also used artificial intelligence wisely in writing the research, as we teach colleagues in the course "Using Artificial Intelligence in Scientific Writing."
I truly encourage you, esteemed audience, to read the full research paper, the link to which is in the comments. I won’t hide from you how much time and effort supervising scientific research education and developing advanced, diverse medical courses has taken over the past period—but praise be to God, we are now reaping good fruits.
I consider publishing this beneficial knowledge as an act of worship to God and a means to elevate our nation. So, I ask you to pray that God enables us to give everyone their due and accepts our efforts. May He grant you all success and guidance.
And we ask God to bring joy to our hearts by lifting the hardship from our brothers in Gaza and Sudan and in every place, and by granting victory to truth and its people.
And our final supplication is: All praise is for God, Lord of the worlds. Peace be upon you, and God’s mercy and blessings.