The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?

12/10/2020
by   Thomas P. Quinn, et al.
0

Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in A Christmas Carol, who guide Ebenezer through the past, present, and future of Christmas holiday events. Similarly, our article will take readers through a journey of the past, present, and future of medical AI. In doing so, we focus on the crux of modern machine learning: the reliance on powerful but intrinsically opaque models. When applied to the healthcare domain, these models fail to meet the needs for transparency that their clinician and patient end-users require. We review the implications of this failure, and argue that opaque models (1) lack quality assurance, (2) fail to elicit trust, and (3) restrict physician-patient dialogue. We then discuss how upholding transparency in all aspects of model design and model validation can help ensure the reliability of medical AI.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/02/2023

XAI Renaissance: Redefining Interpretability in Medical Diagnostic Models

As machine learning models become increasingly prevalent in medical diag...
research
04/04/2023

A Brief Review of Explainable Artificial Intelligence in Healthcare

XAI refers to the techniques and methods for building AI applications wh...
research
12/21/2021

INTRPRT: A Systematic Review of and Guidelines for Designing and Validating Transparent AI in Medical Image Analysis

Transparency in Machine Learning (ML), attempts to reveal the working me...
research
12/28/2017

What do we need to build explainable AI systems for the medical domain?

Artificial intelligence (AI) generally and machine learning (ML) specifi...
research
10/09/2020

On Regulating AI in Medical Products (OnRAMP)

Medical AI products require certification before deployment in most juri...
research
07/02/2015

The Elusive Present: Hidden Past and Future Dependency and Why We Build Models

Modeling a temporal process as if it is Markovian assumes the present en...

Please sign up or login with your details

Forgot password? Click here to reset