Introduction to artificial intelligence in medicine
Y Mintz, R Brodie - Minimally Invasive Therapy & Allied …, 2019 - Taylor & Francis
Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a
conference held on this subject. However, the possibility of machines being able to simulate …
conference held on this subject. However, the possibility of machines being able to simulate …
Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial
A Repici, M Badalamenti, R Maselli, L Correale… - Gastroenterology, 2020 - Elsevier
Background & Aims One-fourth of colorectal neoplasias are missed during screening
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems …
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems …
Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study
Objective The effect of colonoscopy on colorectal cancer mortality is limited by several
factors, among them a certain miss rate, leading to limited adenoma detection rates (ADRs) …
factors, among them a certain miss rate, leading to limited adenoma detection rates (ADRs) …
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic
RM Elavarasan, R Pugazhendhi - Science of the Total Environment, 2020 - Elsevier
Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
The detection and removal of precancerous polyps via colonoscopy is the gold standard for
the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary …
the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary …
Artificial intelligence in colorectal cancer screening, diagnosis and treatment. A new era
A Mitsala, C Tsalikidis, M Pitiakoudis, C Simopoulos… - Current …, 2021 - mdpi.com
The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …
with great success. The widespread use of AI technology in diagnosing and treating several …
[HTML][HTML] Artificial intelligence–assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial
H Xu, RSY Tang, TYT Lam, G Zhao, JYW Lau… - Clinical …, 2023 - Elsevier
Background and Aims Artificial intelligence (AI)–assisted colonoscopy improves polyp
detection and characterization in colonoscopy. However, data from large-scale multicenter …
detection and characterization in colonoscopy. However, data from large-scale multicenter …
Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)
Background and Aims Artificial intelligence (AI)–assisted polyp detection systems for
colonoscopic use are currently attracting attention because they may reduce the possibility …
colonoscopic use are currently attracting attention because they may reduce the possibility …