Mark Crowther: How Artificial Intelligence Is Entering The Field of Hematology
Mark Crowther, Distinguished University Professor and Chair, Department of Medicine at McMaster University, shared on LinkedIn:
”Fair Warning: This One Is for the Hematologists… Mostly.
If your day does not typically involve peripheral smears, coagulation assays, or bone marrow biopsies, this may feel a bit niche.
But stay with me.
A recent article in The Hematologist from the American Society of Hematology examines how artificial intelligence is entering the field of hematology — and while the examples are specialty-specific, the implications are much broader.
AI is already influencing how we:
- Interpret laboratory data and digital morphology
- Analyze large-scale genomic and clinical datasets
- Synthesize literature and draft documentation
- Predict outcomes and support risk stratification
Hematology is a useful case study.
It is data-rich, image-heavy, and highly quantitative — an ideal testing ground for algorithmic tools.
But the core questions apply across medicine, engineering, education, and health systems:
- How do we validate these tools before adoption?
- How do we recognize and mitigate embedded bias?
- How do we train professionals to use AI critically rather than passively?
- Where does accountability sit when machines assist decision-making?
At institutions like McMaster University, these are not abstract issues.
They are central to our broader AI agenda — integrating innovation while preserving rigor, transparency, and professional judgment.
So yes — this post may disproportionately excite hematologists.
But the conversation is much larger than one specialty.
AI will not replace expertise. It will reshape how expertise is exercised.”
Title: Artificial Intelligence and Hematology: What’s Promising Today and What Will Impact Practice Tomorrow?
Authors: Vanessa Kennedy, Lori Muffly
Read the Full Article on The Hematologist
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