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 …

The biological meaning of radiomic features

MR Tomaszewski, RJ Gillies - Radiology, 2021 - pubs.rsna.org
Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

J Yao, X Zhu, J Jonnagaddala, N Hawkins… - Medical Image Analysis, 2020 - Elsevier
Traditional image-based survival prediction models rely on discriminative patch labeling
which make those methods not scalable to extend to large datasets. Recent studies have …

Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology

K Bera, KA Schalper, DL Rimm, V Velcheti… - Nature reviews Clinical …, 2019 - nature.com
In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

[HTML][HTML] Innovative approaches for cancer treatment: Current perspectives and new challenges

C Pucci, C Martinelli, G Ciofani - ecancermedicalscience, 2019 - ncbi.nlm.nih.gov
Every year, cancer is responsible for millions of deaths worldwide and, even though much
progress has been achieved in medicine, there are still many issues that must be addressed …

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 …

Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal …

L Feng, Z Liu, C Li, Z Li, X Lou, L Shao… - The Lancet Digital …, 2022 - thelancet.com
Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy
enables personalised perioperative therapy for locally advanced rectal cancer. We aimed to …

Artificial intelligence in healthcare

KH Yu, AL Beam, IS Kohane - Nature biomedical engineering, 2018 - nature.com
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …

Deep learning-based classification of mesothelioma improves prediction of patient outcome

P Courtiol, C Maussion, M Moarii, E Pronier, S Pilcer… - Nature medicine, 2019 - nature.com
Malignant mesothelioma (MM) is an aggressive cancer primarily diagnosed on the basis of
histological criteria. The 2015 World Health Organization classification subdivides …