Clinical acceptance of software based on artificial intelligence technologies (radiology)

08/01/2019
by   S. P. Morozov, et al.
0

There is a methodological framework for the process of clinical trials of algorithms and software based on the artificial intelligence. The authors describe approaches to evaluate accuracy and efficiency of the AI algorithms for radiology.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

03/01/2021

Reflections on the Clinical Acceptance of Artificial Intelligence

In this chapter, we reflect on the use of Artificial Intelligence (AI) a...
05/08/2019

A new direction to promote the implementation of artificial intelligence in natural clinical settings

Artificial intelligence (AI) researchers claim that they have made great...
05/13/2021

What Clinical Trials Can Teach Us about the Development of More Resilient AI for Cybersecurity

Policy-mandated, rigorously administered scientific testing is needed to...
01/14/2022

Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect

Artificial Intelligence (AI) is making a significant impact in multiple ...
04/12/2018

Reputation in M2M Economy

Triggered by modern technologies, our possibilities may now expand beyon...
03/21/2019

Towards Standardization of Data Licenses: The Montreal Data License

This paper provides a taxonomy for the licensing of data in the fields o...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.