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Views on artificial intelligence (AI) assisted clinical trials
It is of interest to document the views of medical professionals on the application of artificial intelligence (using known data for the prediction of unknown events) in clinical trials using a web survery with a structured questionnaire from 377 subjects. The questionnaire contained 17 statements w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819789/ https://www.ncbi.nlm.nih.gov/pubmed/35173383 http://dx.doi.org/10.6026/97320630017616 |
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author | Balasundaram, Arthi Stalin, C Ghanta, Mohan Krishna |
author_facet | Balasundaram, Arthi Stalin, C Ghanta, Mohan Krishna |
author_sort | Balasundaram, Arthi |
collection | PubMed |
description | It is of interest to document the views of medical professionals on the application of artificial intelligence (using known data for the prediction of unknown events) in clinical trials using a web survery with a structured questionnaire from 377 subjects. The questionnaire contained 17 statements which were categorised into awareness (1,2 statements), perception (3-10 statements) and opinion (11-17 statements). The data obtained was compared between the subjects using two tailed Fisher's exact test with p-value <0.05 for data significance analysis. Data shows that majority of professionals have possitive views on the application of artificial intelligence in clinical trials. This will accelarrate the drug evaluation process. However, the use of emerging tools such as AI will not replace human subjects in this context. |
format | Online Article Text |
id | pubmed-8819789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-88197892022-02-15 Views on artificial intelligence (AI) assisted clinical trials Balasundaram, Arthi Stalin, C Ghanta, Mohan Krishna Bioinformation Research Article It is of interest to document the views of medical professionals on the application of artificial intelligence (using known data for the prediction of unknown events) in clinical trials using a web survery with a structured questionnaire from 377 subjects. The questionnaire contained 17 statements which were categorised into awareness (1,2 statements), perception (3-10 statements) and opinion (11-17 statements). The data obtained was compared between the subjects using two tailed Fisher's exact test with p-value <0.05 for data significance analysis. Data shows that majority of professionals have possitive views on the application of artificial intelligence in clinical trials. This will accelarrate the drug evaluation process. However, the use of emerging tools such as AI will not replace human subjects in this context. Biomedical Informatics 2021-06-30 /pmc/articles/PMC8819789/ /pubmed/35173383 http://dx.doi.org/10.6026/97320630017616 Text en © 2021 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research Article Balasundaram, Arthi Stalin, C Ghanta, Mohan Krishna Views on artificial intelligence (AI) assisted clinical trials |
title | Views on artificial intelligence (AI) assisted clinical trials |
title_full | Views on artificial intelligence (AI) assisted clinical trials |
title_fullStr | Views on artificial intelligence (AI) assisted clinical trials |
title_full_unstemmed | Views on artificial intelligence (AI) assisted clinical trials |
title_short | Views on artificial intelligence (AI) assisted clinical trials |
title_sort | views on artificial intelligence (ai) assisted clinical trials |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819789/ https://www.ncbi.nlm.nih.gov/pubmed/35173383 http://dx.doi.org/10.6026/97320630017616 |
work_keys_str_mv | AT balasundaramarthi viewsonartificialintelligenceaiassistedclinicaltrials AT stalinc viewsonartificialintelligenceaiassistedclinicaltrials AT ghantamohankrishna viewsonartificialintelligenceaiassistedclinicaltrials |