Report for: Artificial intelligence in healthcare: past, present and future

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

Title	Artificial intelligence in healthcare: past, present and future
Published in	Stroke and Vascular Neurology, June 2017
DOI	10.1136/svn-2017-000101
Pubmed ID	29507784
Authors	Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang
Abstract	Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.

View on publisher site Alert me about new mentions

Twitter Demographics

The data shown below were collected from the profiles of 79 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	13	16%
India	7	9%
United Kingdom	5	6%
Spain	5	6%
Germany	4	5%
Austria	3	4%
Belgium	2	3%
France	2	3%
Saudi Arabia	2	3%
Other	9	11%
Unknown	27	34%

Demographic breakdown

Type	Count	As %
Members of the public	65	82%
Practitioners (doctors, other healthcare professionals)	5	6%
Scientists	5	6%
Science communicators (journalists, bloggers, editors)	4	5%

Mendeley readers

The data shown below were compiled from readership statistics for 3,694 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	3694	100%

Demographic breakdown

Readers by professional status	Count	As %
Student > Master	549	15%
Student > Bachelor	497	13%
Student > Ph. D. Student	399	11%
Researcher	302	8%
Student > Doctoral Student	158	4%
Other	576	16%
Unknown	1213	33%

Readers by discipline	Count	As %
Computer Science	571	15%
Medicine and Dentistry	428	12%
Engineering	348	9%
Business, Management and Accounting	183	5%
Nursing and Health Professions	109	3%
Other	698	19%
Unknown	1357	37%

Attention Score in Context

This research output has an Altmetric Attention Score of 221. 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 10 May 2023.

All research outputs

#156,937

of 23,917,011 outputs

Outputs from Stroke and Vascular Neurology

of 343 outputs

Outputs of similar age

#3,619

of 319,448 outputs

Outputs of similar age from Stroke and Vascular Neurology

of 10 outputs

Altmetric has tracked 23,917,011 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 343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. 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 319,448 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 98% of its contemporaries.

We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.

Artificial intelligence in healthcare: past, present and future

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context