Non‐small cell lung cancer in China
P Chen, Y Liu, Y Wen, C Zhou - Cancer Communications, 2022 - Wiley Online Library
In China, lung cancer is a primary cancer type with high incidence and mortality. Risk factors
for lung cancer include tobacco use, family history, radiation exposure, and the presence of …
for lung cancer include tobacco use, family history, radiation exposure, and the presence of …
Artificial intelligence in pharmaceutical and healthcare research
SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …
efficiently, can analyze complex data. The research focused on AI has increased …
A guide to artificial intelligence for cancer researchers
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …
a readily accessible tool for cancer researchers. AI-based tools can boost research …
[HTML][HTML] Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Immunotherapy offers the potential for durable clinical benefit but calls into question the
association between tumor size and outcome that currently forms the basis for imaging …
association between tumor size and outcome that currently forms the basis for imaging …
Artificial intelligence for prediction of response to cancer immunotherapy
Y Yang, Y Zhao, X Liu, J Huang - Seminars in Cancer Biology, 2022 - Elsevier
Artificial intelligence (AI) indicates the application of machines to imitate intelligent behaviors
for solving complex tasks with minimal human intervention, including machine learning and …
for solving complex tasks with minimal human intervention, including machine learning and …
The added effect of artificial intelligence on physicians' performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review
Our systematic review investigated the additional effect of artificial intelligence-based
devices on human observers when diagnosing and/or detecting thoracic pathologies using …
devices on human observers when diagnosing and/or detecting thoracic pathologies using …
[HTML][HTML] Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?
Strong rationale and a growing number of preclinical and clinical studies support combining
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …
Artificial intelligence for image registration in radiation oncology
Automatic image registration plays an important role in many aspects of the radiation
oncology workflow ranging from treatment simulation, image guided and adaptive …
oncology workflow ranging from treatment simulation, image guided and adaptive …
Artificial Intelligence (AI) for Lung Nodules, From the AJR Special Series on AI Applications
JA Liu, IY Yang, EB Tsai - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by Vicky Goh discussing this article. Interest in artificial
intelligence (AI) applications for lung nodules continues to grow among radiologists …
intelligence (AI) applications for lung nodules continues to grow among radiologists …
Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC …
Background Identifying predictive non-invasive biomarkers of immunotherapy response is
crucial to avoid premature treatment interruptions or ineffective prolongation. Our aim was to …
crucial to avoid premature treatment interruptions or ineffective prolongation. Our aim was to …