Machine learning in predicting pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer using MRI: a systematic review and meta-analysis

J He, S Wang, P Liu - British Journal of Radiology, 2024 - academic.oup.com
Objectives To evaluate the performance of machine learning models in predicting
pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in …

Urinary Tract Infection Bacteria Classification: Artificial Intelligence-based Medical Application

A Fadlil, HIK Fathurrahman, YH Lin… - Journal of Robotics …, 2023 - journal.umy.ac.id
Urinary tract infection (UTI) is a type of health disorder, an infection in the urinary glands
mainly caused by bacteria. Currently, conventional early detection methods that have been …

Recent advances in devices and technologies that might prove revolutionary for colonoscopy procedures

JS Galati, K Lin, SA Gross - Expert Review of Medical Devices, 2023 - Taylor & Francis
Introduction Colorectal cancer (CRC) is the third most common malignancy and second
leading cause of cancer-related mortality in the world. Adenoma detection rate (ADR), a …

Artificial intelligence-assisted system for the assessment of Forrest classification of peptic ulcer bleeding: a multicenter diagnostic study

XJ He, XL Wang, TK Su, LJ Yao, J Zheng, XD Wen… - …, 2024 - thieme-connect.com
Background Inaccurate Forrest classification may significantly affect clinical outcomes,
especially in high risk patients. Therefore, this study aimed to develop a real-time deep …

[HTML][HTML] 人工智能辅助消化内镜诊断的进展

赵思琦, 刘文天 - 世界华人消化杂志, 2024 - wjgnet.com
消化系统疾病, 特别是消化道肿瘤的发病率居高不下. 内镜检查是诊断和治疗消化道疾病的重要
方法, 尤其是在早期癌变的筛查中具有重要的作用. 然而, 消化道早期癌变的内镜下检出率仍较低 …

Transforming Cybersecurity in the Digital Era: The Power of AI

M Mahfuri, S Ghwanmeh, R Almajed… - … on Cyber Resilience …, 2024 - ieeexplore.ieee.org
In the midst of the digital revolution of the 21st century, cybersecurity has come to be a
primary social situation, requiring revolutionary and Innovative solution. To find the proper …

[PDF][PDF] Алгоритм на основе искусственного интеллекта для системы поддержки принятия врачебного решения при колоноскопии

ДА Мтвралашвили, ДГ Шахматов, АА Ликутов… - …, 2023 - ruproctology.com
Алгоритм на основе искусственного интеллекта для системы поддержки Page 1 https://doi.org/10.33878/2073-7556-2023-22-2-92-102
Алгоритм на основе искусственного интеллекта для системы поддержки принятия …

Polyp segmentation in colonoscopy images using DeepLabV3++

AM Islam, SS Bhuiyan, M Mashira, MR Ahmed… - arXiv preprint arXiv …, 2024 - arxiv.org
Segmenting polyps in colonoscopy images is essential for the early identification and
diagnosis of colorectal cancer, a significant cause of worldwide cancer deaths. Prior deep …

Impact of AI-aided colonoscopy in clinical practice: a prospective randomised controlled trial

J Schöler, M Alavanja, T de Lange… - BMJ Open …, 2024 - bmjopengastro.bmj.com
Objective Colorectal cancer (CRC) has a significant role in cancer-related mortality.
Colonoscopy, combined with adenoma removal, has proven effective in reducing CRC …

Artificial intelligence and the push for small adenomas: all we need?

K Zimmermann-Fraedrich, T Rösch - Endoscopy, 2023 - thieme-connect.com
Article published online: 2023-03-07 countries, namely 55% in Spain [42], 51% in Sweden,
and 41% in Italy [40]. In primary screening colonoscopy, ADR is naturally lower, as patients …