[HTML][HTML] Towards machine learning-aided lung cancer clinical routines: Approaches and open challenges

F Silva, T Pereira, I Neves, J Morgado… - Journal of Personalized …, 2022 - mdpi.com
Advancements in the development of computer-aided decision (CAD) systems for clinical
routines provide unquestionable benefits in connecting human medical expertise with …

[HTML][HTML] Comprehensive perspective for lung cancer characterisation based on AI solutions using CT images

T Pereira, C Freitas, JL Costa, J Morgado… - Journal of Clinical …, 2020 - mdpi.com
Lung cancer is still the leading cause of cancer death in the world. For this reason, novel
approaches for early and more accurate diagnosis are needed. Computer-aided decision …

[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 …

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 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] Artificial Intelligence-Based Treatment Decisions: A New Era for NSCLC

O Fiste, I Gkiozos, A Charpidou, NK Syrigos - Cancers, 2024 - mdpi.com
Simple Summary Lung cancer therapeutics have dramatically improved in recent years.
Indeed, precision oncology could be exemplified by non-small cell lung cancer (NSCLC) …

[HTML][HTML] Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: A narrative review

J Li, J Wu, Z Zhao, Q Zhang, J Shao… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Objective In this review, we aim to present frontier studies in patients with lung cancer as it
related to artificial intelligence (AI)-assisted decision-making and summarize the latest …

[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 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 …