Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

A REVIEW ARTICLE ON ARTIFICIAL INTELLIGENCE IN PHARMA INDUSTRY AND HEALTH CARE SECTOR

Authors: J. Jahnavi, Dr. K. Umasankar;

A REVIEW ARTICLE ON ARTIFICIAL INTELLIGENCE IN PHARMA INDUSTRY AND HEALTH CARE SECTOR

Abstract

Artificial Intelligence is the pharma's &healthcare upcoming frontier in life science. Present digitalization of medicine &availability of [electronic health records] EHRs motivated the healthcare personnel to employ AI. Nowadays AI is needs in increasing production to gain the quality outcome. Current AI tendency in pharma field on several [artificial neural networks] ANNs such as [deep neural network] DNNs nor [recurrent neural network] RNNs & on [process analytical technology] PAT, [computational fluid dynamics] CFD &many more. As in healthcare AI have a tremendous role in storage of information & data management like patient case records, sale details, medicine holdings &so on. AI is checked or used on various healthcares, pharma industries & also included in disease identifying. Usage of A.I in pharmaceutical industry has accelerated. And by the usage of these A.I technologies can spare the time & money while supplying finer acknowledge on various process parameters & formulations. But at a time robot manufacturers has struggling with various challenges for their efforts to build themselves in pharmaceutical applications. A.I with robotics has a lot of advantages and disadvantages. Keywords: Artificial Intelligence, Natural language processing, Personalized treatment, Telemedicine, Clinical trials, Hospital and community pharmacy.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities