[HTML][HTML] The effects of artificial intelligence assistance on the radiologists' assessment of lung nodules on CT scans: a systematic review
LJS Ewals, K van der Wulp… - Journal of clinical …, 2023 - mdpi.com
To reduce the number of missed or misdiagnosed lung nodules on CT scans by radiologists,
many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are …
many Artificial Intelligence (AI) algorithms have been developed. Some algorithms are …
[HTML][HTML] The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews
HEC Silva, GNM Santos, AF Leite, CRM Mesquita… - Plos one, 2023 - journals.plos.org
Background and purpose In comparison to conventional medical imaging diagnostic
modalities, the aim of this overview article is to analyze the accuracy of the application of …
modalities, the aim of this overview article is to analyze the accuracy of the application of …
Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule
J Qiao, Y Fan, M Zhang, K Fang, D Li… - … Signal Processing and …, 2023 - Elsevier
Early detection and identification of malignant lung nodules improve the survival of lung
cancer patients. The visual attributes such as subtlety, spiculation, and calcification of lung …
cancer patients. The visual attributes such as subtlety, spiculation, and calcification of lung …
Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial …
J Zhou, M Zhao, Z Yang, L Chen, X Liu… - Journal of …, 2024 - journals.sagepub.com
Background: Alzheimer's disease (AD), a major dementia cause, lacks effective treatment.
MRI-based hippocampal volume measurement using artificial intelligence offers new …
MRI-based hippocampal volume measurement using artificial intelligence offers new …
[HTML][HTML] Recommended approaches for screening and early detection of lung cancer in the Middle East and Africa (MEA) region: a consensus statement
A Allehebi, A Al-Omair, B Mahboub… - Journal of Thoracic …, 2024 - ncbi.nlm.nih.gov
Background The prevalence of lung cancer in the Middle East and Africa (MEA) region has
steadily increased in recent years and is generally associated with a poor prognosis due to …
steadily increased in recent years and is generally associated with a poor prognosis due to …
miR‐4757‐3p Inhibited the Migration and Invasion of Lung Cancer Cell via Targeting Wnt Signaling Pathway
P Zhao, Q Zhao, C Chen, S Lu, L Jin - Journal of Oncology, 2023 - Wiley Online Library
Lung cancer accounts for the vast majority of cancer‐related deaths worldwide, and aberrant
miRNA expression is commonly observed as the disease progresses. The current study …
miRNA expression is commonly observed as the disease progresses. The current study …
Significance of lung nodules detected on chest CT among adult Aboriginal Australians–a retrospective descriptive study
LY Ng, TP Howarth, AX Doss… - Journal of Medical …, 2024 - Wiley Online Library
Introduction There are limited data on chest computed tomography (CT) findings in the
assessment of lung nodules among adult Aboriginal Australians. In this retrospective study …
assessment of lung nodules among adult Aboriginal Australians. In this retrospective study …
Harnessing Pyroptosis for Lung Cancer Therapy: The Impact of NLRP3 Inflammasome Activation
Lung cancer is still a global health challenge in terms of high incidence, morbidity, and
mortality. Recent scientific studies have determined that pyroptosis, a highly inflammatory …
mortality. Recent scientific studies have determined that pyroptosis, a highly inflammatory …
A strategy to reduce the false‐positive rate after low‐dose computed tomography in lung cancer screening: A multicenter prospective cohort study
Z Wu, F Tan, Y Xie, W Tang, F Wang, Y Xu… - Cancer …, 2023 - Wiley Online Library
Background The ability of lung cancer screening to manage pulmonary nodules was limited
because of the high false‐positive rate in the current mainstream screening method, low …
because of the high false‐positive rate in the current mainstream screening method, low …
[HTML][HTML] Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis
W Wulaningsih, C Villamaria, A Akram, J Benemile… - Lung, 2024 - Springer
Background There has been growing interest in using artificial intelligence/deep learning
(DL) to help diagnose prevalent diseases earlier. In this study we sought to survey the …
(DL) to help diagnose prevalent diseases earlier. In this study we sought to survey the …