Scope of Artificial Intelligence in Gastrointestinal Oncology

Gastrointestinal cancers are among the leading causes of death worldwide, with over 2.8 million deaths annually. Over the last few decades, advancements in artificial intelligence technologies have led to their application in medicine. The use of artificial intelligence in endoscopic procedures is a...

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Autores principales:	Hemant Goyal, Syed A. A. Sherazi, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Muhammad Aziz, Saurabh Chandan, Jonathan Kopel, Benjamin Tharian, Neil Sharma, Nirav Thosani
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	artificial intelligence colorectal cancer gastrointestinal cancer hepatocellular cancer pancreaticobiliary cancer gastric cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/e45f5cf625af4aa5aabbe4c886954c80
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spelling	oai:doaj.org-article:e45f5cf625af4aa5aabbe4c886954c802021-11-11T15:33:43ZScope of Artificial Intelligence in Gastrointestinal Oncology10.3390/cancers132154942072-6694https://doaj.org/article/e45f5cf625af4aa5aabbe4c886954c802021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/21/5494https://doaj.org/toc/2072-6694Gastrointestinal cancers are among the leading causes of death worldwide, with over 2.8 million deaths annually. Over the last few decades, advancements in artificial intelligence technologies have led to their application in medicine. The use of artificial intelligence in endoscopic procedures is a significant breakthrough in modern medicine. Currently, the diagnosis of various gastrointestinal cancer relies on the manual interpretation of radiographic images by radiologists and various endoscopic images by endoscopists. This can lead to diagnostic variabilities as it requires concentration and clinical experience in the field. Artificial intelligence using machine or deep learning algorithms can provide automatic and accurate image analysis and thus assist in diagnosis. In the field of gastroenterology, the application of artificial intelligence can be vast from diagnosis, predicting tumor histology, polyp characterization, metastatic potential, prognosis, and treatment response. It can also provide accurate prediction models to determine the need for intervention with computer-aided diagnosis. The number of research studies on artificial intelligence in gastrointestinal cancer has been increasing rapidly over the last decade due to immense interest in the field. This review aims to review the impact, limitations, and future potentials of artificial intelligence in screening, diagnosis, tumor staging, treatment modalities, and prediction models for the prognosis of various gastrointestinal cancers.Hemant GoyalSyed A. A. SheraziRupinder MannZainab GandhiAbhilash PerisettiMuhammad AzizSaurabh ChandanJonathan KopelBenjamin TharianNeil SharmaNirav ThosaniMDPI AGarticleartificial intelligencecolorectal cancergastrointestinal cancerhepatocellular cancerpancreaticobiliary cancergastric cancerNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5494, p 5494 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence colorectal cancer gastrointestinal cancer hepatocellular cancer pancreaticobiliary cancer gastric cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	artificial intelligence colorectal cancer gastrointestinal cancer hepatocellular cancer pancreaticobiliary cancer gastric cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Hemant Goyal Syed A. A. Sherazi Rupinder Mann Zainab Gandhi Abhilash Perisetti Muhammad Aziz Saurabh Chandan Jonathan Kopel Benjamin Tharian Neil Sharma Nirav Thosani Scope of Artificial Intelligence in Gastrointestinal Oncology
description	Gastrointestinal cancers are among the leading causes of death worldwide, with over 2.8 million deaths annually. Over the last few decades, advancements in artificial intelligence technologies have led to their application in medicine. The use of artificial intelligence in endoscopic procedures is a significant breakthrough in modern medicine. Currently, the diagnosis of various gastrointestinal cancer relies on the manual interpretation of radiographic images by radiologists and various endoscopic images by endoscopists. This can lead to diagnostic variabilities as it requires concentration and clinical experience in the field. Artificial intelligence using machine or deep learning algorithms can provide automatic and accurate image analysis and thus assist in diagnosis. In the field of gastroenterology, the application of artificial intelligence can be vast from diagnosis, predicting tumor histology, polyp characterization, metastatic potential, prognosis, and treatment response. It can also provide accurate prediction models to determine the need for intervention with computer-aided diagnosis. The number of research studies on artificial intelligence in gastrointestinal cancer has been increasing rapidly over the last decade due to immense interest in the field. This review aims to review the impact, limitations, and future potentials of artificial intelligence in screening, diagnosis, tumor staging, treatment modalities, and prediction models for the prognosis of various gastrointestinal cancers.
format	article
author	Hemant Goyal Syed A. A. Sherazi Rupinder Mann Zainab Gandhi Abhilash Perisetti Muhammad Aziz Saurabh Chandan Jonathan Kopel Benjamin Tharian Neil Sharma Nirav Thosani
author_facet	Hemant Goyal Syed A. A. Sherazi Rupinder Mann Zainab Gandhi Abhilash Perisetti Muhammad Aziz Saurabh Chandan Jonathan Kopel Benjamin Tharian Neil Sharma Nirav Thosani
author_sort	Hemant Goyal
title	Scope of Artificial Intelligence in Gastrointestinal Oncology
title_short	Scope of Artificial Intelligence in Gastrointestinal Oncology
title_full	Scope of Artificial Intelligence in Gastrointestinal Oncology
title_fullStr	Scope of Artificial Intelligence in Gastrointestinal Oncology
title_full_unstemmed	Scope of Artificial Intelligence in Gastrointestinal Oncology
title_sort	scope of artificial intelligence in gastrointestinal oncology
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e45f5cf625af4aa5aabbe4c886954c80
work_keys_str_mv	AT hemantgoyal scopeofartificialintelligenceingastrointestinaloncology AT syedaasherazi scopeofartificialintelligenceingastrointestinaloncology AT rupindermann scopeofartificialintelligenceingastrointestinaloncology AT zainabgandhi scopeofartificialintelligenceingastrointestinaloncology AT abhilashperisetti scopeofartificialintelligenceingastrointestinaloncology AT muhammadaziz scopeofartificialintelligenceingastrointestinaloncology AT saurabhchandan scopeofartificialintelligenceingastrointestinaloncology AT jonathankopel scopeofartificialintelligenceingastrointestinaloncology AT benjamintharian scopeofartificialintelligenceingastrointestinaloncology AT neilsharma scopeofartificialintelligenceingastrointestinaloncology AT niravthosani scopeofartificialintelligenceingastrointestinaloncology
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Scope of Artificial Intelligence in Gastrointestinal Oncology

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