Welcome to the i4Health Research lab

@ York University

@ Vector Institute

A principle that guides our work "Health AI should move beyond prediction, toward decision intelligence that complements human agency and supports informed, actionable choices under uncertainty."

As systems become increasingly intelligent, automated, and capable outside healthcare, it has become clear that such intelligence is not plug-and-play in healthcare settings.

Recent Posts

Older News

March 2025 - Our paper Similarity-Aware Token Pruning: Your VLM but Faster is now available on arxiv.
Feb 2025 - Our lab is delighted to welcome Abeer Badawi as a postdoctoral fellow.
Jan. 2025 - Congratulations to Juan Medina on defending his Master's at U of T.
Dec. 2024 - Our lab has received a seed grant from the LongCovid Web.
Sep. 2024 - Congratulations to Juan Medina on receiving CanTreatCOVID Master’s Scholarship
Sep. 2024 - Our lab is delighted to welcome three new brilliant members, Nathan Kabore, Shayan Emzad, and Negin Baghbanzadeh.
Sep. 2024 - Dr. Dolatabadi is featured in the Vector Institute Annual Report for the Kids Help Phone project.
Aug. 2024 - Our recent research, “Transitioning sleeping position detection in late pregnancy using computer vision from controlled to real-world settings: an observational study,” has been recently published in Nature Scientific Reports;
Jan. 2024 - Our lab is delighted to welcome three new brilliant members, Noor Qaiser, Mansoure Jahanian, and Yasaman Parhizkar.
Dec. 2023. Dr. Dolatabadi is featured in a National Post interview discussing the transformative impact of AI on healthcare in Canada. Additionally, my insights were quoted in a blog post titled "Five ways artificial Intelligence is improving health care in Canada”
Oct. 2023 - Our recent research, “Vision-based detection and quantification of maternal sleeping position,” has been recently published in PLoS Digital Health;
Sep 2023 - we have an open Research Internship position in Machine Learning and Bio-informatics (to be appointed at UHN): Job posting link and @UHN ;
Sep 2023 - Our recent collaborative work with @TELUS, @DeloitteCanada & @RocheCanada, “Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: NLP Approach” has been recently published in @jmirpub
June 2023 - Our lab received collaborative seed funding for the project Machine Learning for Post-Covid Condition in collaboration with York University, GEMINI, and LongCovid Web.
June 2023 - Congratulations to Allan Kember on successfully defending his Master's thesis
May 2023 - Our lab received an NSERC Discovery Grant for the project titled "Deep Multimodal Learning for Healthcare: Towards Building Multimodal Pathway Health Networks".
May 2023 - Our paper on using NLP for clinical laboratory Data Repository Systems is published at JMIR AI
April 2023 - Congratulations to Sina Akbarian on his new IEEE access paper on evaluating knowledge transfer in NN for medical images.
Feb 2023 - Our paper on diagnosing harmful data shift is now available on medrxiv