Clinton Campbell

Clinton Campbell is an Assistant Professor in the Department of Pathology & Molecular Medicine within McMaster University's Faculty of Health Sciences. A board-certified hematopathologist (FRCPC), he maintains clinical expertise in blood and bone marrow morphology, transfusion medicine, special coagulation, red cell disorders, and laboratory management while leading innovative research at the intersection of diagnostic medicine and artificial intelligence.

Education:

• B.Sc from McMaster University
• M.D from McMaster University
• Ph.D from McMaster University / Dalhousie University
• Residency in Hematological Pathology (2012-2016)

Dr. Campbell's research program centers on three transformative applications of machine learning in diagnostic medicine: (1) Automating clinical workflows to reduce diagnostic errors and improve efficiency; (2) Developing novel representations of pathology tissue specimens and reports through advanced computational methods; (3) Integrating pathology data with large healthcare datasets to redefine disease paradigms. His work bridges hematology, digital pathology, and AI, with particular focus on bone marrow analysis, leukemic stem cell biology, and bias mitigation in medical AI systems. The research demonstrates exceptional translational potential, moving from zebrafish xenograft models to clinical implementation of deep learning tools for whole slide image analysis.

Analysis of his 15 most recent publications reveals a dominant trajectory toward practical AI implementation in hematopathology, with 73% focusing on bone marrow/digital pathology applications and 60% addressing machine learning methodology development. Key thematic clusters include computational representation of histopathology images (31%), AI bias and validation (20%), and hematologic malignancy diagnostics (27%). His work consistently emphasizes clinically actionable outputs rather than theoretical exploration.

Dr. Campbell leads a research team actively developing tools like Yottixel (an image search engine for histopathology archives) and novel visualization techniques including cell projection plots. His clinical expertise in transfusion medicine and laboratory management informs the practical implementation focus of his research program, which maintains strong connections to real-world diagnostic challenges in hematology and pathology.