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Inside the Lab Digital and computational pathology, Technology and innovation, Profession

A Boost to Brainpower

At a Glance

  • Image-based medical specialties – for example, dermatopathology – are uniquely poised to benefit from advances in augmented Intelligence (AuI)
  • AuI tools must be carefully designed and validated to minimize disruption or unintended outcomes
  • The tools must also be thoughtfully integrated into existing workflows to achieve increased efficiency and ease laboratory burden
  • Only through human-centered design around the pathologist can AuI succeed

Augmented Intelligence (AuI) has the potential to transform the clinical practice of physicians – and specialties with significant image-based components, such as radiology, dermatology, ophthalmology, and pathology, are uniquely poised to benefit from advances in deep learning applications. The concept of AuI focuses on the role of artificial intelligence (AI) in assisting clinicians. The goal? Not to replace human intelligence, but to enhance it.

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About the Authors

Justin Ko

Clinical Associate Professor, Director, and Chief of Medical Dermatology at Stanford University, Stanford, USA.


Carrie Kovarik

Associate Professor of Medicine and Associate Professor of Dermatology at the Hospital of the University of Pennsylvania, Philadelphia, USA.

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