Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE

Machine learning and deep learning have revolutionized our ability to analyze and find patterns in multi-dimensional and intricate datasets. As such, these methods have the ability to help us decipher the large volume of data generated within healthcare. These tools hold the promise of enhancing pat...

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Detalles Bibliográficos
Autores principales: Daneshjou, Roxana, Kidzinski, Lukasz, Afanasiev, Olga, Chen, Jonathan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771513/
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author Daneshjou, Roxana
Kidzinski, Lukasz
Afanasiev, Olga
Chen, Jonathan H.
author_facet Daneshjou, Roxana
Kidzinski, Lukasz
Afanasiev, Olga
Chen, Jonathan H.
author_sort Daneshjou, Roxana
collection PubMed
description Machine learning and deep learning have revolutionized our ability to analyze and find patterns in multi-dimensional and intricate datasets. As such, these methods have the ability to help us decipher the large volume of data generated within healthcare. These tools hold the promise of enhancing patient care through several modalities, including clinical decision support, monitoring tools, image interpretation, and triaging capabilities. For the 2020 Pacific Symposium on Biocomputing’s session on Artificial Intelligence for Enhancing Clinical Medicine, we highlight novel research on the application of artificial intelligence to solve problems within the field of medicine.
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spelling pubmed-77715132020-12-29 Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE Daneshjou, Roxana Kidzinski, Lukasz Afanasiev, Olga Chen, Jonathan H. Pac Symp Biocomput Article Machine learning and deep learning have revolutionized our ability to analyze and find patterns in multi-dimensional and intricate datasets. As such, these methods have the ability to help us decipher the large volume of data generated within healthcare. These tools hold the promise of enhancing patient care through several modalities, including clinical decision support, monitoring tools, image interpretation, and triaging capabilities. For the 2020 Pacific Symposium on Biocomputing’s session on Artificial Intelligence for Enhancing Clinical Medicine, we highlight novel research on the application of artificial intelligence to solve problems within the field of medicine. 2020 /pmc/articles/PMC7771513/ Text en http://creativecommons.org/licenses/by/4.0/ Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.
spellingShingle Article
Daneshjou, Roxana
Kidzinski, Lukasz
Afanasiev, Olga
Chen, Jonathan H.
Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE
title Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE
title_full Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE
title_fullStr Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE
title_full_unstemmed Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE
title_short Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE
title_sort session intro: artificial intelligence for enhancing clinical medicine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771513/
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