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 …

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 …

A guide to artificial intelligence for cancer researchers

R Perez-Lopez, N Ghaffari Laleh, F Mahmood… - Nature Reviews …, 2024 - nature.com
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 …

[HTML][HTML] Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy

L Dercle, J McGale, S Sun, A Marabelle… - … for Immunotherapy of …, 2022 - ncbi.nlm.nih.gov
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 …

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 …

The added effect of artificial intelligence on physicians' performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review

D Li, LM Pehrson, CA Lauridsen, L Tøttrup, M Fraccaro… - Diagnostics, 2021 - mdpi.com
Our systematic review investigated the additional effect of artificial intelligence-based
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?

R Sun, T Henry, A Laville, A Carré… - … for Immunotherapy of …, 2022 - ncbi.nlm.nih.gov
Strong rationale and a growing number of preclinical and clinical studies support combining
radiotherapy and immunotherapy to improve patient outcomes. However, several critical …

Artificial intelligence for image registration in radiation oncology

J Teuwen, ZAR Gouw, JJ Sonke - Seminars in Radiation Oncology, 2022 - Elsevier
Automatic image registration plays an important role in many aspects of the radiation
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 …

Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC …

B Farina, ADR Guerra, D Bermejo-Peláez… - Journal of Translational …, 2023 - Springer
Background Identifying predictive non-invasive biomarkers of immunotherapy response is
crucial to avoid premature treatment interruptions or ineffective prolongation. Our aim was to …