The Art of Algorithms
How can an algorithmic approach to diagnosis strengthen the practice of pathology?
Pranav Patwardhan | | Longer Read
At a Glance
- An algorithmic approach to diagnosis promotes a logical, sequential, and organized thought process
- Diagnostic algorithms can be handy resources and allow pathologists to share their knowledge easily
- They are especially useful for trainees, who can not only make use of existing algorithms, but also learn to create their own
- Such algorithms move from history and clinical information all the way to immunohistochemistry and molecular diagnostics
Every pathologist knows that there is an element of art to the science of diagnostics. Not every disease presentation is typical. Sometimes, an important finding is barely captured on the edge of a slide, or buried in a patient’s clinical history. Other times, an abnormality in a biopsy may lead you to not only a primary diagnosis, but also an unrelated second observation. But with so much information to corral, how can you progress logically through the steps from sample to diagnosis, and how can you ensure that you are taking note of every important finding along the way?
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