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
Stay updated on all scientific advances with Hemostasis Today.
-
May 31, 2026, 07:02Raising Awareness of Cerebral Venous Sinus Thrombosis in Women – NBCA
-
May 31, 2026, 07:00Ceri Roberts: How to Reduce Your Risk of a Blood Clot
-
May 31, 2026, 05:28Nikolaos Androulakis: Inflammatory Burden and Antiphospholipid Antibodies in Lupus Anticoagulant Testing
-
May 31, 2026, 05:28Alysha Arif: Understanding a Complex Case of Postpartum Seizures
-
May 31, 2026, 05:27Chiara Novelli: Are We Validating Laboratory Algorithms as Rigorously as We Validate Laboratory Tests?
-
May 31, 2026, 02:42Katja van den Hurk: Optimizing Iron Management in Blood Donors
-
May 31, 2026, 02:36The New JPAC Website Has Been Live for Nearly a Week – SHOT
-
May 31, 2026, 02:33Jecko Thachil: Is It Possible to Use Machine Learning for Differentiating Inherited Thrombocytopenia from Other Causes?
-
May 30, 2026, 18:12Khokon Miah Akanda: FDA Approves a First-in-Class Hypertension Drug