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Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery
Background and Objectives: The advancement of artificial intelligence (AI) based technologies in medicine is progressing rapidly, but the majority of its real-world applications has not been implemented. The establishment of an accurate diagnosis with treatment has now transitioned into an artificia...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029673/ https://www.ncbi.nlm.nih.gov/pubmed/35454298 http://dx.doi.org/10.3390/medicina58040459 |
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author | Taha, Anas Ochs, Vincent Kayhan, Leos N. Enodien, Bassey Frey, Daniel M. Krähenbühl, Lukas Taha-Mehlitz, Stephanie |
author_facet | Taha, Anas Ochs, Vincent Kayhan, Leos N. Enodien, Bassey Frey, Daniel M. Krähenbühl, Lukas Taha-Mehlitz, Stephanie |
author_sort | Taha, Anas |
collection | PubMed |
description | Background and Objectives: The advancement of artificial intelligence (AI) based technologies in medicine is progressing rapidly, but the majority of its real-world applications has not been implemented. The establishment of an accurate diagnosis with treatment has now transitioned into an artificial intelligence era, which has continued to provide an amplified understanding of liver cancer as a disease and helped to proceed better with the method of procurement. This article focuses on reviewing the AI in liver-associated diseases and surgical procedures, highlighting its development, use, and related counterparts. Materials and Methods: We searched for articles regarding AI in liver-related ailments and surgery, using the keywords (mentioned below) on PubMed, Google Scholar, Scopus, MEDLINE, and Cochrane Library. Choosing only the common studies suggested by these libraries, we segregated the matter based on disease. Finally, we compiled the essence of these articles under the various sub-headings. Results: After thorough review of articles, it was observed that there was a surge in the occurrence of liver-related surgeries, diagnoses, and treatments. Parallelly, advanced computer technologies governed by AI continue to prove their efficacy in the accurate screening, analysis, prediction, treatment, and recuperation of liver-related cases. Conclusions: The continual developments and high-order precision of AI is expanding its roots in all directions of applications. Despite being novel and lacking research, AI has shown its intrinsic worth for procedures in liver surgery while providing enhanced healing opportunities and personalized treatment for liver surgery patients. |
format | Online Article Text |
id | pubmed-9029673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90296732022-04-23 Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery Taha, Anas Ochs, Vincent Kayhan, Leos N. Enodien, Bassey Frey, Daniel M. Krähenbühl, Lukas Taha-Mehlitz, Stephanie Medicina (Kaunas) Article Background and Objectives: The advancement of artificial intelligence (AI) based technologies in medicine is progressing rapidly, but the majority of its real-world applications has not been implemented. The establishment of an accurate diagnosis with treatment has now transitioned into an artificial intelligence era, which has continued to provide an amplified understanding of liver cancer as a disease and helped to proceed better with the method of procurement. This article focuses on reviewing the AI in liver-associated diseases and surgical procedures, highlighting its development, use, and related counterparts. Materials and Methods: We searched for articles regarding AI in liver-related ailments and surgery, using the keywords (mentioned below) on PubMed, Google Scholar, Scopus, MEDLINE, and Cochrane Library. Choosing only the common studies suggested by these libraries, we segregated the matter based on disease. Finally, we compiled the essence of these articles under the various sub-headings. Results: After thorough review of articles, it was observed that there was a surge in the occurrence of liver-related surgeries, diagnoses, and treatments. Parallelly, advanced computer technologies governed by AI continue to prove their efficacy in the accurate screening, analysis, prediction, treatment, and recuperation of liver-related cases. Conclusions: The continual developments and high-order precision of AI is expanding its roots in all directions of applications. Despite being novel and lacking research, AI has shown its intrinsic worth for procedures in liver surgery while providing enhanced healing opportunities and personalized treatment for liver surgery patients. MDPI 2022-03-22 /pmc/articles/PMC9029673/ /pubmed/35454298 http://dx.doi.org/10.3390/medicina58040459 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Taha, Anas Ochs, Vincent Kayhan, Leos N. Enodien, Bassey Frey, Daniel M. Krähenbühl, Lukas Taha-Mehlitz, Stephanie Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery |
title | Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery |
title_full | Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery |
title_fullStr | Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery |
title_full_unstemmed | Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery |
title_short | Advancements of Artificial Intelligence in Liver-Associated Diseases and Surgery |
title_sort | advancements of artificial intelligence in liver-associated diseases and surgery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029673/ https://www.ncbi.nlm.nih.gov/pubmed/35454298 http://dx.doi.org/10.3390/medicina58040459 |
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