[HTML][HTML] Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis

Q Pei, Y Luo, Y Chen, J Li, D Xie, T Ye - Clinical Chemistry and …, 2022 - degruyter.com
Artificial intelligence (AI) is a branch of computer science that includes research in robotics,
language recognition, image recognition, natural language processing, and expert systems …

[HTML][HTML] Artificial intelligence and lung cancer: impact on improving patient outcomes

Z Gandhi, P Gurram, B Amgai, SP Lekkala… - Cancers, 2023 - mdpi.com
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 …

[HTML][HTML] Application of artificial intelligence in lung cancer

HY Chiu, HS Chao, YM Chen - Cancers, 2022 - mdpi.com
Simple Summary Lung cancer is the leading cause of malignancy-related mortality
worldwide. AI has the potential to help to treat lung cancer from detection, diagnosis and …

[HTML][HTML] Integration of artificial intelligence in lung cancer: Rise of the machine

C Ladbury, A Amini, A Govindarajan… - Cell Reports …, 2023 - cell.com
The goal of oncology is to provide the longest possible survival outcomes with the
therapeutics that are currently available without sacrificing patients' quality of life. In lung …

Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective

S Huang, J Yang, N Shen, Q Xu, Q Zhao - Seminars in Cancer Biology, 2023 - Elsevier
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the
world. The overall five-year survival rate of lung cancer is relatively lower than many leading …

Role of artificial intelligence in the care of patients with nonsmall cell lung cancer

M Rabbani, J Kanevsky, K Kafi… - European journal of …, 2018 - Wiley Online Library
Background Lung cancer is the leading cause of cancer death worldwide. In up to 57% of
patients, it is diagnosed at an advanced stage and the 5‐year survival rate ranges between …

Artificial intelligence in lung cancer: bridging the gap between computational power and clinical decision-making

JR Christie, P Lang, LM Zelko… - Canadian …, 2021 - journals.sagepub.com
Lung cancer remains the most common cause of cancer death worldwide. Recent advances
in lung cancer screening, radiotherapy, surgical techniques, and systemic therapy have led …

[HTML][HTML] Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

[HTML][HTML] Artificial intelligence in lung cancer: current applications and perspectives

G Chassagnon, C De Margerie-Mellon… - Japanese journal of …, 2023 - Springer
Artificial intelligence (AI) has been a very active research topic over the last years and
thoracic imaging has particularly benefited from the development of AI and in particular deep …

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

S Huang, J Yang, S Fong, Q Zhao - Cancer letters, 2020 - Elsevier
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …