A brief explanation of the presentation:
In health care systems, individuals need to make (often complex) decisions in different levels (micro, meso and macro levels). Artificial intelligence (AI) and operations research (OR) are showing promises in different industries including health care. Data-driven and model-driven techniques obtained from AI, OR and data mining have been developed to facilitates making high quality, evidence informed decisions in healthcare. However, they have been rarely implemented in clinical practice. The overall aim of this presentation is to give an overview of applications of AI in primary health care, highlight some lessons learned in clinical practice, and present results of some of ongoing projects (led by Dr. Rahimi) on use of AI/OR in clinical practice (including prenatal care).
Samira Rahimi Eng., Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University, and affiliated scientist at the Lady Davis Institute for Medical Research of Jewish General Hospital, Montreal. She is regular member of IEEE, AAAI, OBVIA and Cardiometabolic Health Diabetes and Obesity research network.
Dr. Rahimi is recipient of numerous scholarships, fellowships and awards among them the 2015 Canada Women in Engineering award of IEEE. She has worked on several AI/OR related projects in clinical contexts, and currently is leading several international funded projects (including CIHR-funded projects) on effective use of AI and technology in primary health care.
With an interdisciplinary background, Dr. Rahimi is interested in development, and implementation of clinical decision support tools, patient decision aids (to facilitate shared decision making), as well as integrating human-centered AI in primary health care.