scholarly journals An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice

Author(s):  
Mohamed M. Abuzaid ◽  
Wiam Elshami ◽  
Jonathan McConnell ◽  
H. O. Tekin
2020 ◽  
Author(s):  
Rashmi Phalnikar ◽  
Subhal Dixit ◽  
Harsha Talele

The COVID-19 infection caused by Novel Corona Virus has been declared a pandemic and a public health emergency of international concern. Infections caused by Corona Virus have been previously recognized in people and is known to cause Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Unlike the earlier infections, COVID19 spreads alarmingly and the experience and volume of the scientific knowledge on the virus is small and lacks substantiation. To manage this crisis, Artificial intelligence (AI) promises to play a key role in understanding and addressing the COVID-19 crisis. It tends to be valuable to identify the infection, analyse it, treat it and also predict the stages of infection. Artificial intelligence algorithms can be applied to make diagnosis of COVID-19 and stepping up research and therapy. The paper explains a detailed flowchart of COVID-19 patient and discusses the use of AI at various stages. The preliminary contribution of the paper is in identifying the stages where the use of Artificial Intelligence and its allied fields can help in managing COVID-19 patient and paves a road for systematic research in future.


2020 ◽  
Author(s):  
Ting Roy ◽  
Ram Shenoy ◽  
Daniel Markel ◽  
Victor Bolze ◽  
Christian Wilkinson ◽  
...  

2020 ◽  
Vol 24 (01) ◽  
pp. 65-73 ◽  
Author(s):  
Teresa Martin-Carreras ◽  
Po-Hao Chen

AbstractThe radiology practice has access to a wealth of data in the radiologist information system, dictation reports, and electronic health records. Although many artificial intelligence applications in radiology have focused on computer vision and the interpretive use cases, many opportunities exist to enhance the radiologist's value proposition through business analytics. This article explores how AI lends an analytical lens to the radiology practice to create value.


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