Latest AI and machine learning research in lung cancer for healthcare professionals.
This study presents a machine learning model to predict renal function decline following minimally-i...
BACKGROUND: The tangential field-in-field (FIF) technique is a widely used method in breast radiatio...
AIM: The use of artificial intelligence (AI) and machine learning (ML) is increasingly widespread in...
Radiation therapy is regarded as the mainstay treatment for cancer in clinic. Kilovoltage cone-beam ...
Endometrioid adenocarcinoma (EA) has been on the increase in recent years in developed countries. Ea...
PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting...
Existing single-cell clustering methods are based on gene expressions that are susceptible to dropou...
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five primary...
BACKGROUND: In order to meet the kinematic requirements of large range of motion, payload, and stiff...
Air absorbed dose rate is a key indicator of environmental radiation exposure. In China, automated e...
To address the challenges of target specificity and drug resistance in Anaplastic lymphoma kinase (A...
Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, re...
BACKGROUND: Epidermal growth factor receptor (EGFR) mutations play a pivotal role in guiding targete...
Colon adenocarcinoma (COAD) is one of the most prevalent malignancies worldwide and its prognosis is...
BACKGROUND: The presence of occult lymph node metastasis (OLNM) has significant implications for the...
BACKGROUND: Lung cancer (LC) is the second most diagnosed cancer and the leading cause of cancer mor...
Accurately predicting immunotherapy response in Non-Small Cell Lung Cancer (NSCLC) remains a criti...
Lung cancer is the leading cause of cancer mortality worldwide, and non-invasive methods for detec...
Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its a...
AIM: To assess the predictive performance, risk stratification capabilities, and auxiliary diagnosti...
Fluoroscopically guided electrophysiology (EP) procedures expose operators to low doses of ionizing ...