Applications and prospects of artificial intelligence-assisted endoscopic ultrasound in digestive system diseases

J Huang, X Fan, W Liu - Diagnostics, 2023 - mdpi.com
Endoscopic ultrasound (EUS) has emerged as a widely utilized tool in the diagnosis of
digestive diseases. In recent years, the potential of artificial intelligence (AI) in healthcare …

[HTML][HTML] Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI

MF Ahamed, M Nahiduzzaman, MR Islam… - Expert Systems with …, 2024 - Elsevier
The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …

Explainable AI for gastrointestinal disease diagnosis in telesurgery Healthcare 4.0

M Patel, K Gohil, A Gohil, F Ramoliya, R Gupta… - Computers and …, 2024 - Elsevier
The escalating prevalence of gastrointestinal disorders, spanning a spectrum from polyps to
tumors, underscores the imperative for advanced diagnostic and interventional …

[HTML][HTML] A Review of Application of Deep Learning in Endoscopic Image Processing

Z Nie, M Xu, Z Wang, X Lu, W Song - Journal of Imaging, 2024 - mdpi.com
Deep learning, particularly convolutional neural networks (CNNs), has revolutionized
endoscopic image processing, significantly enhancing the efficiency and accuracy of …

Classification of freshwater fish diseases in Bangladesh using a novel ensemble deep learning model: Enhancing accuracy and interpretability

A Al Maruf, SH Fahim, R Bashar, RA Rumy… - IEEE …, 2024 - ieeexplore.ieee.org
Effective disease management and mitigation strategies for fish diseases depend on timely
and accurate diagnosis. In recent years, artificial intelligence methods—classification …

[HTML][HTML] Gastric cancer detection with ensemble learning on digital pathology: Use case of gastric cancer on gashissdb dataset

GR Mudavadkar, M Deng, SMA Al-Heejawi, IH Arora… - Diagnostics, 2024 - mdpi.com
Simple Summary Gastric cancer is a major worldwide health concern, underscoring the
importance of early detection to enhance patient outcomes. Traditional histological analysis …

Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)

M Diwakar, P Singh, V Ravi - Bioengineering, 2023 - mdpi.com
AI is a contemporary methodology rooted in the field of computer science. It involves the
creation of programs and algorithms that fill devices with the ability to exhibit intelligence …

[HTML][HTML] Towards precise chronic disease management: A combined approach with binary metaheuristics and ensemble deep learning

N Mohamed, RL Almutairi, S Abdelrahim… - Journal of Radiation …, 2024 - Elsevier
Chronic disease (CD) recognition involves identifying the existence or risk of CDs in
individuals. CDs have chronic health illnesses categorized by slow progression and …

[HTML][HTML] Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis

T Hossain, FMJM Shamrat, X Zhou, I Mahmud… - PeerJ Computer …, 2024 - peerj.com
Gastrointestinal (GI) diseases are prevalent medical conditions that require accurate and
timely diagnosis for effective treatment. To address this, we developed the Multi-Fusion …

Weighted ensemble deep learning approach for classification of gastrointestinal diseases in colonoscopy images aided by explainable AI

FE Oğuz, A Alkan - Displays, 2024 - Elsevier
Gastrointestinal diseases are significant health issues worldwide, requiring early diagnosis
due to their serious health implications. Therefore, detecting these diseases using artificial …