We analyze AI processing models and their applications across clinical decision-making, radiology, surgery, medical education, and risk stratification — working in collaboration with various doctors and researchers across the field.
Inquiro is a student-led research lab focused on analyzing the use of artificial intelligence in medicine. We review current literature, evaluate AI processing models, and critically examine their potential applications in clinical decision-making, radiology, surgery, medical education, and risk stratification — working in collaboration with various doctors, clinician-scientists, and researchers across these fields. Our work is rooted in rigorous evidence synthesis, interdisciplinary thinking, and a shared conviction that understanding AI's capabilities and limitations is essential for the next generation of physicians.
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Analyzing how AI models — including emerging open-source LLMs and proprietary systems — are being integrated into clinical decision support. We review diagnostic reasoning engines, treatment recommendation algorithms, and triage tools, evaluating the evidence for accuracy, safety, real-world utility, and the innovation of new AI tools reshaping clinical workflows.
Seven medical students at the University of Toronto — one year further into training, working alongside doctors and researchers across the field.
Yazan founded Inquiro to create a rigorous, student-driven platform for analyzing the role of artificial intelligence in medicine. His research interests span AI-augmented clinical decision-making, the evaluation of AI processing models for diagnostic and prognostic applications, the innovation and integration of new AI tools, and the translational potential of both proprietary and open-source machine learning models across radiology, surgery, medical education, and risk stratification in clinical practice. He leads Inquiro with a commitment to intellectual depth, collaborative inquiry, and advancing a critical understanding of how AI is reshaping the future of healthcare.
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We're looking for medical students and collaborators interested in analyzing AI's role in healthcare through literature review, evidence synthesis, and critical research.