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Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Overview of attention for article published in Radiotherapy & Oncology, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
twitter
35 X users
googleplus
2 Google+ users

Readers on

mendeley
510 Mendeley
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Article details
Title
Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
Published in
Radiotherapy & Oncology, June 2018
DOI 10.1016/j.radonc.2018.05.030
Pubmed ID
Authors
Abstract

Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully autonomous transportation. Advances in each of these domains have led some to call AI the "fourth" industrial revolution [1]. In healthcare, AI is emerging as both a productive and disruptive force across many disciplines. This is perhaps most evident in Diagnostic Radiology and Pathology, specialties largely built around the processing and complex interpretation of medical images, where the role of AI is increasingly seen as both a boon and a threat. In Radiation Oncology as well, AI seems poised to reshape the specialty in significant ways, though the impact of AI has been relatively limited at present, and may rightly seem more distant to many, given the predominantly interpersonal and complex interventional nature of the specialty. In this overview, we will explore the current state and anticipated future impact of AI on Radiation Oncology, in detail, focusing on key topics from multiple stakeholder perspectives, as well as the role our specialty may play in helping to shape the future of AI within the larger spectrum of medicine.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 510 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 510 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 63 12%
Researcher 57 11%
Student > Master 45 9%
Student > Bachelor 38 7%
Other 37 7%
Other 69 14%
Unknown 201 39%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 79 15%
Computer Science 51 10%
Physics and Astronomy 33 6%
Engineering 27 5%
Nursing and Health Professions 18 4%
Other 67 13%
Unknown 235 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2022.
All research outputs
#1,322,880
of 34,763,505 outputs
Outputs from Radiotherapy & Oncology
#107
of 6,522 outputs
Outputs of similar age
#21,312
of 374,274 outputs
Outputs of similar age from Radiotherapy & Oncology
#1
of 115 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,522 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 374,274 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.