Evolution of a surgical system using deep learning in minimally invasive surgery
K Sone, S Tanimoto, Y Toyohara… - Biomedical …, 2023 - spandidos-publications.com
Recently, artificial intelligence (AI) has been applied in various fields due to the
development of new learning methods, such as deep learning, and the marked progress in …
development of new learning methods, such as deep learning, and the marked progress in …
[HTML][HTML] Use of artificial intelligence in breast surgery: a narrative review
I Seth, B Lim, K Joseph, D Gracias, Y Xie, RJ Ross… - Gland …, 2024 - ncbi.nlm.nih.gov
Methods Two authors independently conducted a comprehensive search of PubMed,
Google Scholar, EMBASE, and Cochrane CENTRAL databases from January 1, 1950, to …
Google Scholar, EMBASE, and Cochrane CENTRAL databases from January 1, 1950, to …
Detection of flat colorectal neoplasia by artificial intelligence: a systematic review
M Yamada, Y Saito, S Yamada, H Kondo… - Best Practice & …, 2021 - Elsevier
Objectives This study review focuses on a deep learning method for the detection of
colorectal lesions in colonoscopy and AI support for detecting colorectal neoplasia …
colorectal lesions in colonoscopy and AI support for detecting colorectal neoplasia …
Implementation of personalized medicine by artificial intelligence platform
Y Yakimenko, S Stirenko, D Koroliouk… - Soft Computing for …, 2022 - Springer
Artificial intelligence (AI) can automate and dramatically accelerate Computer-Aided
Detection (CADe) and Computer-Aided Diagnosis (CADx) by automatically processing …
Detection (CADe) and Computer-Aided Diagnosis (CADx) by automatically processing …
[HTML][HTML] Epigenetic mechanisms underlying COVID-19 pathogenesis
In 2019, a novel severe acute respiratory syndrome called coronavirus disease 2019
(COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
(COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) …
Artificial intelligence in the treatment of cancer: changing patterns, constraints, and prospects
Purpose Artificial intelligence (AI) has contributed to the advancement of medical research,
particularly cancer research. AI technology is an inclusive science comprising computer …
particularly cancer research. AI technology is an inclusive science comprising computer …
Interpretability Analysis of Convolutional Neural Networks for Crack Detection
J Wu, Y He, C Xu, X Jia, Y Huang, Q Chen, C Huang… - Buildings, 2023 - mdpi.com
Crack detection is an important task in bridge health monitoring, and related detection
methods have gradually shifted from traditional manual methods to intelligent approaches …
methods have gradually shifted from traditional manual methods to intelligent approaches …
Prediction of Cancer Treatment Using Advancements in Machine Learning
Many cancer patients die due to their treatment failing because of their disease's resistance
to chemotherapy and other forms of radiation therapy. Resistance may develop at any stage …
to chemotherapy and other forms of radiation therapy. Resistance may develop at any stage …
Histopathological cancer detection using hybrid quantum computing
We present an effective application of quantum machine learning in the field of healthcare.
The study here emphasizes on a classification problem of a histopathological cancer …
The study here emphasizes on a classification problem of a histopathological cancer …
Deep learning-based automated spine fracture type identification with clinically validated GAN generated CT images
Automatic type identification of sub-axial spine fractures is of prime importance for
orthopaedicians to reduce image interpretation time and increase patient care time. But …
orthopaedicians to reduce image interpretation time and increase patient care time. But …