Artificial Intelligence in medical imaging practice: looking to the future-Reference-Cited by-同舟云学术

Artificial Intelligence in medical imaging practice: looking to the future

Published:2019-11-10 Issue:4 Volume:66 Page:292-295
ISSN:2051-3895
Container-title:Journal of Medical Radiation Sciences
language:en
Short-container-title:J Med Radiat Sci

Author:

Lewis Sarah J¹^ORCID,Gandomkar Ziba¹,Brennan Patrick C¹

Affiliation:

1. Discipline of Medical Imaging Science The University of Sydney Lidcombe New South Wales Australia

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmrs.369

Reference22 articles.

1. Price Waterhouse Coopers.Adopting AI in Health Care: Why Change? [Internet]. PWC 2019. [cited 30th August 2019]. Available from:https://www.pwc.com.au/health/ai/pwc-adopting-ai-in-healthcare-why-change-19feb2019.pdf.

2. Royal Australian and New Zealand College of Radiologists.Ethical Principles for AI in Medicine. [Internet]. RANZCR 2019 [cited 21 September 2019]. Available fromhttps://www.ranzcr.com/search/ranzcr-launches-world-leading-principles-for-the-adoption-of-ai-in-healthcare-media-release

3. Australian Society of Medical Imaging and Radiation Therapy.Discussion Statement: RANZCR Ethical Principles for AI in Medicine. [Internet]. ASMIRT 2019 [cited 21 September 2019]. Available fromhttps://www.asmirt.org/media/1307/1307.pdf

4. House of Lords Select Committee on Artificial Intelligence.AI in the UK: Ready Willing Able?[Internet]. UK Parliament 2017. [Cited 21 September 2019]. Available fromhttps://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf

5. Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

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