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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
Recent Posts
News
News
Aug 2026 - Paper, Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support, EMNLP (Findings), 2026
Aug 2026 - Paper, REFRAME: A Test Suite for the Knowledge–Deployment Gap in LLMs, EMNLP (main track), 2026
Aug 2026 - Paper, Whose Federation? Federation Opacity Through a Global Health Lens, AJOB (IF:17.6), 2026
Aug 2026 - Paper, Machine learning in palliative care: Scoping review of applications. JMIR AI (IF:6.1), 2026
July 2026 - Congratulations to Nathan and Moyo on defending their Master's at York U.
July 2026 - Book, AI for a Just World: Power, Liberation, and the People Left Behind, is now available through CRC Press.
June 2026 - Paper, Open-pmc-18m, MICCAI, 2026.
June 2026 - Paper, A Scoping Review of Algorithmic Equity, Data Diversity, and Inclusive Design, is accepted at Journal of Biomedical Informatics, JBI, 2026.
May 2026 - Paper, A Flexible Fair Learning Framework via Group-Aware Surrogate Loss Reweighting, Canadian AI, 2026.
Feb 2026 - Paper, When can we trust LLMs in mental health, is accepted at EACL, 2026 for an *oral*.
Jan 2026 - Paper, PRIME tool, JMIR, 2026.
Oct 2025 - Our lab has received infrastructure funding from the Canada Foundation for Innovation (CFI) to support projects in artificial intelligence & health equity [Link].
Sep 2025 - Congratulations to Negin Baghbanzadeh and Sheri for defending their Master's at York University.
Aug 2025 - Paper, Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge, ACL (main track).
Aug 2025 - Paper, Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization, EMNLP (Findings), 2025
June 2025 - Paper, Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models, JAMA Network Open (IF:11), 2025
May 2025 - Paper, The FAIIR conversational AI agent assistant for youth mental health service provision, Nature Digital Npj (IF:18), 2025.
May 2025 - Paper, Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care, ICML, 2025.
May 2025 - Paper, Advancing Medical Representation Learning Through High-Quality Data, MICCAI, *oral*, 2025.
May 2025 - Our lab is delighted to welcome Sevda Ebrahimi as a PhD student.
April 2025 - Congratulations to Sarah Taleghani on defending her Master's at York U.
Older News
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
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