[HTML][HTML] Artificial intelligence in diagnostic pathology

S Shafi, AV Parwani - Diagnostic pathology, 2023 - Springer
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …

[HTML][HTML] Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Diagnostics, 2022 - mdpi.com
Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …

Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study

S Bag, P Dhamija, RK Singh, MS Rahman… - Journal of Business …, 2023 - Elsevier
The healthcare supply chain involves the manufacturing and delivery of medicines at the
right time, at the right place, and in the correct quantity. In the world of uncertainties …

A comprehensive survey of intestine histopathological image analysis using machine vision approaches

Y Jing, C Li, T Du, T Jiang, H Sun, J Yang, L Shi… - Computers in Biology …, 2023 - Elsevier
Colorectal Cancer (CRC) is currently one of the most common and deadly cancers. CRC is
the third most common malignancy and the fourth leading cause of cancer death worldwide …

[HTML][HTML] the Regulation of Artificial Intelligence in Digital Radiology in the scientific literature: a narrative review of reviews

D Giansanti - Healthcare, 2022 - mdpi.com
Today, there is growing interest in artificial intelligence (AI) in the field of digital radiology
(DR). This is also due to the push that has been applied in this sector due to the pandemic …

[HTML][HTML] Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer

S Zhao, CY Yan, H Lv, JC Yang, C You, ZA Li… - Fundamental …, 2022 - Elsevier
Triple-negative breast cancer (TNBC) is the most challenging breast cancer subtype.
Molecular stratification and target therapy bring clinical benefit for TNBC patients, but it is …

Revolutionizing diagnostic pathology: The emergence and impact of artificial intelligence—what doesn't kill you makes you stronger?

A Alhatem, T Wong, WC Lambert - Clinics in Dermatology, 2024 - Elsevier
This study explored the integration and impact of artificial intelligence (AI) in diagnostic
pathology, particularly dermatopathology, assessing its challenges and potential solutions …

The pathobiology of follicular lymphoma

J Carreras - Journal of clinical and experimental hematopathology, 2023 - jstage.jst.go.jp
Follicular lymphoma is one of the most frequent lymphomas. Histologically, it is
characterized by a follicular (nodular) growth pattern of centrocytes and centroblasts; mixed …

[HTML][HTML] Multi-center verification of the influence of data ratio of training sets on test results of an AI system for detecting early gastric cancer based on the YOLO-v4 …

T Jin, Y Jiang, B Mao, X Wang, B Lu, J Qian… - Frontiers in …, 2022 - frontiersin.org
Objective Convolutional Neural Network (CNN) is increasingly being applied in the
diagnosis of gastric cancer. However, the impact of proportion of internal data in the training …

Deep neural network for automatic assessment of dysphonia

MA García, AL Rosset - arXiv preprint arXiv:2202.12957, 2022 - arxiv.org
The purpose of this work is to contribute to the understanding and improvement of deep
neural networks in the field of vocal quality. A neural network that predicts the perceptual …