Ilhem Bousbiat, a second year international MSc student in the Department of Family Medicine, has won a Faculty of Medicine and Health Sciences Internal Studentship Competition and is a recipient of the Gordon Phillips Fund for Research in Cardiovascular Diseases.
Under the supervision of Dr. Samira Rahimi (Department of Family Medicine), her research focuses on the implementation of Artificial Intelligence in cardiovascular disease (CVD) prediction and prevention among women at the primary care level. Ilhem is interested in precision medicine and the development of personalized digital health tools.
During her academic journey, she has also won the following awards:
- The graduate excellence fellowship and Graduate Funding Allocation ('21) from McGill University
- The Golden Key International Honour Society certificate
- Arts and Science Scholars Award for being in the top 1% of the Biology Department
- The Garnet Key (a tuition waiver scholarship for foreign students from the Ministère de l'Éducation du Québec)
- The Concordia Undergraduate Student Research Award
Implementation of AI-based decision support systems for Cardiovascular Disease (CVD) prediction and prevention in women at the primary care level which will be used to develop an eXplainable intelligent system to assist with CVD prediction and prevention among women.
The objectives of this project are to:
(ii) Assess the needs of women for an AI decision aid system for CVD prevention.
(iii) Describe the perspectives of women on ethical considerations of adopting AI-based tools.
(iv) Discover the patterns resulting from exploratory data analysis of CVD datasets.
This research highlights the challenges with implementing AI in primary care, examines the social benefits of this technology, and integrates the views that have been silenced or excluded. It collaborates with women, especially ones with low socioeconomic backgrounds and from ethnic minorities, to integrate their perspectives into the development of the AI-based tool. In addition, this study will be addressing the importance of obtaining the pre-intervention end-user views, regarding the use, design and ethical implications associated with the utilization of AI-based tools in health care, thus establishing EDI. Ultimately, it will provide more insight on how to develop an AI-based tool which will be used by both women and their primary care providers to facilitate knowledge translation between patient and physician, assist in tracking the progress of patients, and provide more accurate and precise assessment of the prognosis of CVD pertain to women. Moreover, the study overall will maximize the positive effect of AI implementation in health care by bridging the gap between clinicians and patients, implementing shared decision-making in primary care and deploying AI ethical- and cultural safety- principles in the development of a trustworthy and responsible AI-based tool.