Cargando…
Role of artificial intelligence in diagnostic oral pathology-A modern approach
Over the decades, new equipment was emerged in medical field, and we have witnessed the importance of medical imaging such as computed tomography, magnetic resonance imaging, ultrasound, mammography and X-ray and their contribution in successful diagnosis and treatment of various diseases. Now, we a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269295/ https://www.ncbi.nlm.nih.gov/pubmed/32508465 http://dx.doi.org/10.4103/jomfp.JOMFP_215_19 |
_version_ | 1783541752924209152 |
---|---|
author | Krishna, Ayinampudi Bhargavi Tanveer, Azra Bhagirath, Pancha Venkat Gannepalli, Ashalata |
author_facet | Krishna, Ayinampudi Bhargavi Tanveer, Azra Bhagirath, Pancha Venkat Gannepalli, Ashalata |
author_sort | Krishna, Ayinampudi Bhargavi |
collection | PubMed |
description | Over the decades, new equipment was emerged in medical field, and we have witnessed the importance of medical imaging such as computed tomography, magnetic resonance imaging, ultrasound, mammography and X-ray and their contribution in successful diagnosis and treatment of various diseases. Now, we are in era of artificial intelligence (AI), where machines were modeled after human brain's ability to take inputs and produce outputs from given data. AI has a wide range of uses and applications in health services industry. Factors such as increase in workload, complexity of work and potential fatigue of doctors may compromise diagnostic ability and outcome. AI components in imaging machines would reduce this workload and drive greater efficiency. They also have access to a greater wealth of data than human counterparts and can detect cancer with more accuracy than humans. This study presented an overview of AI, its recent advances in pathology and future prospects. |
format | Online Article Text |
id | pubmed-7269295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-72692952020-06-05 Role of artificial intelligence in diagnostic oral pathology-A modern approach Krishna, Ayinampudi Bhargavi Tanveer, Azra Bhagirath, Pancha Venkat Gannepalli, Ashalata J Oral Maxillofac Pathol Short Communication Over the decades, new equipment was emerged in medical field, and we have witnessed the importance of medical imaging such as computed tomography, magnetic resonance imaging, ultrasound, mammography and X-ray and their contribution in successful diagnosis and treatment of various diseases. Now, we are in era of artificial intelligence (AI), where machines were modeled after human brain's ability to take inputs and produce outputs from given data. AI has a wide range of uses and applications in health services industry. Factors such as increase in workload, complexity of work and potential fatigue of doctors may compromise diagnostic ability and outcome. AI components in imaging machines would reduce this workload and drive greater efficiency. They also have access to a greater wealth of data than human counterparts and can detect cancer with more accuracy than humans. This study presented an overview of AI, its recent advances in pathology and future prospects. Wolters Kluwer - Medknow 2020 2020-05-08 /pmc/articles/PMC7269295/ /pubmed/32508465 http://dx.doi.org/10.4103/jomfp.JOMFP_215_19 Text en Copyright: © 2020 Journal of Oral and Maxillofacial Pathology http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Short Communication Krishna, Ayinampudi Bhargavi Tanveer, Azra Bhagirath, Pancha Venkat Gannepalli, Ashalata Role of artificial intelligence in diagnostic oral pathology-A modern approach |
title | Role of artificial intelligence in diagnostic oral pathology-A modern approach |
title_full | Role of artificial intelligence in diagnostic oral pathology-A modern approach |
title_fullStr | Role of artificial intelligence in diagnostic oral pathology-A modern approach |
title_full_unstemmed | Role of artificial intelligence in diagnostic oral pathology-A modern approach |
title_short | Role of artificial intelligence in diagnostic oral pathology-A modern approach |
title_sort | role of artificial intelligence in diagnostic oral pathology-a modern approach |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7269295/ https://www.ncbi.nlm.nih.gov/pubmed/32508465 http://dx.doi.org/10.4103/jomfp.JOMFP_215_19 |
work_keys_str_mv | AT krishnaayinampudibhargavi roleofartificialintelligenceindiagnosticoralpathologyamodernapproach AT tanveerazra roleofartificialintelligenceindiagnosticoralpathologyamodernapproach AT bhagirathpanchavenkat roleofartificialintelligenceindiagnosticoralpathologyamodernapproach AT gannepalliashalata roleofartificialintelligenceindiagnosticoralpathologyamodernapproach |