[HTML][HTML] Towards machine learning-aided lung cancer clinical routines: Approaches and open challenges
Advancements in the development of computer-aided decision (CAD) systems for clinical
routines provide unquestionable benefits in connecting human medical expertise with …
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 …
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 …
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 …
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
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 …
in lung cancer screening, radiotherapy, surgical techniques, and systemic therapy have led …
[HTML][HTML] 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 …
[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) …
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 …
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 …
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 …
language recognition, image recognition, natural language processing, and expert systems …