Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reco...
Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise imp...
Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and...
BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by whic...
Hepatocellular carcinoma remains a leading cause of cancer mortality worldwide, with peritumoral mic...
RATIONALE AND OBJECTIVES: To develop a cluster-specific magnetic resonance (MR) radiomics model for ...
RATIONALE AND OBJECTIVES: Predicting neoadjuvant chemotherapy (NACT) efficacy is vital for advanced ...
UNLABELLED: Deep learning (DL) has the potential to enable the prediction of gene mutations directly...
UNLABELLED: Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select c...
UNLABELLED: Multiplexed imaging of tissues is an approach that holds promise for improving early det...
PURPOSE: The benefit of treatment intensification in metastatic colorectal cancer (mCRC) may be infl...
OBJECTIVE: This study addresses maxillary deficiency management by developing a deep learning-based ...
Colorectal liver metastases (CRLM) represent a major clinical challenge because outcomes after hepat...
OBJECTIVES: To develop and validate an integrated clinical-radiomics nomogram predicting the risk of...
PURPOSE: Early-stage lung adenocarcinoma (LUAD) exhibits substantial clinical heterogeneity that is ...
Bone tumors such as osteosarcoma and Ewing sarcoma remain among the most challenging cancers to diag...
Colorectal cancer (CRC) is one of the most common causes of cancer mortality globally. Analysis of i...
Therapeutic efficacy for malignancies and neurological disorders is fundamentally restricted by biol...
Over the past decade, Investigative Radiology has published numerous studies that have fundamentally...
PURPOSE: To evaluate the role of chest CT radiomics in classifying mediastinal lymphadenopathy cause...
OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed...