Please use this identifier to cite or link to this item:
http://dspace.dtu.ac.in:8080/jspui/handle/repository/19053
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | ANKIT | - |
dc.date.accessioned | 2022-05-20T05:54:07Z | - |
dc.date.available | 2022-05-20T05:54:07Z | - |
dc.date.issued | 2022-05 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/19053 | - |
dc.description.abstract | Artificial intelligence had re-modeled the various fields and made ease for various difficult tasks which were hard to do by traditional approaches in the related fields. AI impacted entertainment, IT, mechanical and various type of industries and changes lifestyle of the world. Healthcare sector is not left behind of this there are various healthcare sectors in which AI is playing crucial role and providing support to healthcare infrastructure. AI can improve the workflow of various diagnostic and treatment facilities. AI can analyse images and this feature has robust application in pathological tasks and now pathologists can visualize histopathology images directly on the computer screen. AI can be used in drug discovery and designing as they can predict how the drug will going to react to a particular molecule. AI gas still to do more in healthcare sector and this thesis is done in order to provide evidence of the positive results of these two fields synergy. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-5676; | - |
dc.subject | ARTIFICIAL INTELLIGENCE | en_US |
dc.subject | RE-MODELLING | en_US |
dc.subject | HEALTHCARE SYSTEM | en_US |
dc.title | ARTIFICIAL INTELLIGENCE FOR THE RE-MODELLING OF HEALTHCARE SYSTEM | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M Sc |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ankit M.Sc..pdf | 17.82 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.