Lung cancer screening
SJ Adams, E Stone, DR Baldwin, R Vliegenthart, P Lee… - The Lancet, 2023 - thelancet.com
Randomised controlled trials, including the National Lung Screening Trial (NLST) and the
NELSON trial, have shown reduced mortality with lung cancer screening with low-dose CT …
NELSON trial, have shown reduced mortality with lung cancer screening with low-dose CT …
Nanoprobe-based molecular imaging for tumor stratification
X Ma, M Mao, J He, C Liang, HY Xie - Chemical Society Reviews, 2023 - pubs.rsc.org
The responses of patients to tumor therapies vary due to tumor heterogeneity. Tumor
stratification has been attracting increasing attention for accurately distinguishing between …
stratification has been attracting increasing attention for accurately distinguishing between …
Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
C Zhang, J Xu, R Tang, J Yang, W Wang, X Yu… - Journal of Hematology & …, 2023 - Springer
Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …
biology of cancer has grown as a result of the widespread use of deep learning and …
Expanding the reach and grasp of lung cancer screening
RU Osarogiagbon, PC Yang… - American Society of …, 2023 - ascopubs.org
Low-dose computer tomographic (LDCT) lung cancer screening reduces lung cancer–
specific and all-cause mortality among high-risk individuals, but implementation has been …
specific and all-cause mortality among high-risk individuals, but implementation has been …
[HTML][HTML] A novel hybrid deep learning method for early detection of lung cancer using neural networks
S Wankhade, S Vigneshwari - Healthcare Analytics, 2023 - Elsevier
Lung cancer is a fatal disease with a high mortality rate in diseased patients. Early diagnosis
of this disease and accurately identifying the lung cancer stage can save the patients' lives …
of this disease and accurately identifying the lung cancer stage can save the patients' lives …
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …
integration into clinical practice. This review describes the current state of the field, with a …
Expanding role of advanced image analysis in CT-detected indeterminate pulmonary nodules and early lung cancer characterization
The implementation of low-dose chest CT for lung screening presents a crucial opportunity
to advance lung cancer care through early detection and interception. In addition, millions of …
to advance lung cancer care through early detection and interception. In addition, millions of …
Artificial intelligence and lung cancer: impact on improving patient outcomes
Simple Summary In this comprehensive review, we aimed to summarize the advances made
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …
Lung cancer screening with low-dose CT: what we have learned in two decades of ITALUNG and what is yet to be addressed
The ITALUNG trial started in 2004 and compared lung cancer (LC) and other-causes
mortality in 55–69 years-aged smokers and ex-smokers who were randomized to four …
mortality in 55–69 years-aged smokers and ex-smokers who were randomized to four …
The potential application of artificial intelligence in veterinary clinical practice and biomedical research
Artificial intelligence (AI) is a fast-paced technological advancement in terms of its
application to various fields of science and technology. In particular, AI has the potential to …
application to various fields of science and technology. In particular, AI has the potential to …