Samira Abbasgholizadeh-Rahimi

Affiliation : 

Associate member:

Biography:

Samira Abbasgholizadeh-Rahimi Eng. Ph.D. is an Assistant Professor in the Department of Family Medicine at McGill University, Associate Academic Professor of Mila-Quebec AI Institute, and affiliated scientist at Lady Davis Institute for Medical Research of the Jewish General Hospital.

She is society officer of Canadian Operational Research Society and Director of Artificial Intelligence in Family Medicine (AIFM).

Dr. Rahimi is Fonds de Recherche du Québec-Santé (FRQS) Junior 1 Research Scholar in human-centered AI in primary health care. With an interdisciplinary background, she is interested in the development, evaluation, and implementation of clinical decision support tools and patient decision aids, as well as integrating human-centered AI tools in primary health care.

Her work as Principal Investigator has been funded by the Fonds de recherche du Québec – Santé (FRQS), Natural Sciences and Engineering Research Council (NSERC), Roche Canada, Brocher Foundation (Switzerland), and the Strategy for Patient-Oriented Research (SPOR)-Canadian Institutes of Health Research (CIHR).
She completed her postdoctoral training at Family and Emergency Medicine Department of Université Laval, and her doctorate studies (in Industrial and System Engineering with a focus on health care systems) at Mechanical Engineering Department of Université Laval. She is the recipient of numerous scholarships, fellowships, and awards among them the 2015 Canada Women in Engineering award of IEEE.

Keywords: Artificial Intelligence; Soft computing; Operations Research; Health Care Systems Engineering; Preventive and Community Medicine; Primary Health Care; Decision Sciences; Clinical Decision Support; Shared Decision Making; Knowledge Translation, Implementation Science; Cardiovascular Disease; Dementia.

Editorial Activities:



CURRENT FUNDED PROJECTS:

  • Principal Investigator, Project title: AiCoV19: AI-empowered Real-time COVID-19 Symptom Monitoring and Prediction among Senior Residents, Funding Source: Roche Canada
  • Principal Investigator, Project title: AI-COVID19: Artificial intelligence for prevention and management of novel CoronaVirus 2019; International Workshop, Funding Source: Brocher Foundation (Switzerland)
  • Principal Investigator, Project title: AID: Artificial Intelligence system for assessing and improving community-based Dementia care, Funding Source: McGill Office of Innovation and Partnerships
  • Principal Investigator, Project title: Xi-Care: eXplainable intelligent system for Cardiovascular disease management among women in primary Care, Funding Source: Canadian Institutes of Health Research (CIHR)
  • Co-Principal Investigator, Project title: Artificial INTELLIGENce for efficient community based primary healTh CARE (INTELLIGENT-CARE), Funding Source: Canadian Institutes of Health Research (CIHR)
  • Co-Principal Investigator, Project title: Assessing care models implemented in primary health care for persons with Alzheimer’s disease and related disorders, Funding Source: Canadian Institutes of Health Research (CIHR)
  • Co-Principal Investigator, Project title: Analytical mobile application to support shared decision making for pregnant women, Funding Source: Canadian Institutes of Health Research (CIHR)
  • Co-Investigator, Project title: Artificial Intelligence to Support Preoperative Grading of Perforated Appendicitis in Children, Funding Source: Canadian Institutes of Health Research (CIHR), Project Grant 
  • Co-Investigator, Project title: Improving access to specialized care for patients with frailty through eConsult, Funding Source: Canadian Institutes of Health Research (CIHR), Project Grant 
  • Co-Investigator, Project title: Ageism in A.I.: Exploring the Social and Ethical Implications of Age-Based Bias in Artificially Intelligent Syste, Funding Source: Social Sciences and Humanities Research Council (SSHRC)
  • Co-Investigator, Project title: Adapter l’outil Innovation Responsable en Santé (IRS) aux spécificités du NumerIA en santé et en évaluer la fiabilité. Une étude mixte intégrant une stratégie de mobilisation des connaissance, Funding Source: Observatoire international sur les impacts sociétaux de l’IA et du numérique (OBVIA)
  • Co-Investigator, Project title: TechnOlogy assisted PrenaTal screEning deCisions (TOP-TEC), Funding Source: The Fonds de soutien à l’innovation en santé et en services sociaux (FSISSS)-MEDTEQ.
  • Co-Investigator, Project title: Personnaliser CONCERTO: L’expérience patient optimisée pour des soins intégrés, coordonnés et efficients (En: Personalized CONCERTO: Optimized patient experience for integrated, coordinated and efficient care), Funding Source: Canadian Institutes of Health Research (CIHR)