| Title |
Google DeepMind and healthcare in an age of algorithms
|
|---|---|
| Published in |
Health and Technology, March 2017
|
| DOI | 10.1007/s12553-017-0179-1 |
| Pubmed ID | |
| Authors |
Julia Powles, Hal Hodson |
| Abstract |
Data-driven tools and techniques, particularly machine learning methods that underpin artificial intelligence, offer promise in improving healthcare systems and services. One of the companies aspiring to pioneer these advances is DeepMind Technologies Limited, a wholly-owned subsidiary of the Google conglomerate, Alphabet Inc. In 2016, DeepMind announced its first major health project: a collaboration with the Royal Free London NHS Foundation Trust, to assist in the management of acute kidney injury. Initially received with great enthusiasm, the collaboration has suffered from a lack of clarity and openness, with issues of privacy and power emerging as potent challenges as the project has unfolded. Taking the DeepMind-Royal Free case study as its pivot, this article draws a number of lessons on the transfer of population-derived datasets to large private prospectors, identifying critical questions for policy-makers, industry and individuals as healthcare moves into an algorithmic age. |
X Demographics
The data shown below were collected from the profiles of 711 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 171 | 24% |
| United States | 74 | 10% |
| France | 25 | 4% |
| Australia | 19 | 3% |
| Canada | 16 | 2% |
| Spain | 14 | 2% |
| Germany | 11 | 2% |
| Netherlands | 11 | 2% |
| India | 8 | 1% |
| Other | 74 | 10% |
| Unknown | 288 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 518 | 73% |
| Scientists | 120 | 17% |
| Practitioners (doctors, other healthcare professionals) | 41 | 6% |
| Science communicators (journalists, bloggers, editors) | 31 | 4% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 668 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Spain | 1 | <1% |
| Unknown | 665 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 94 | 14% |
| Student > Ph. D. Student | 87 | 13% |
| Researcher | 73 | 11% |
| Student > Bachelor | 64 | 10% |
| Other | 37 | 6% |
| Other | 120 | 18% |
| Unknown | 193 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 93 | 14% |
| Computer Science | 81 | 12% |
| Social Sciences | 63 | 9% |
| Engineering | 34 | 5% |
| Business, Management and Accounting | 34 | 5% |
| Other | 142 | 21% |
| Unknown | 221 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1019. 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 31 August 2023.
All research outputs
#16,007
of 25,770,491 outputs
Outputs from Health and Technology
#1
of 266 outputs
Outputs of similar age
#280
of 323,502 outputs
Outputs of similar age from Health and Technology
#1
of 5 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 266 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 99% 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 323,502 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 99% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them