Latest AI and machine learning research in other cancers for healthcare professionals.
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 ...
PURPOSE: To develop and validate machine learning (ML) models for postoperative risk stratification ...
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...
A deep learning (DL) model was developed to generate contrast-enhanced MRI (CE-MRI) at multiple enha...
Multiple myeloma (MM) is recognized as a malignancy shaped by its complex tumor microenvironment (TM...
Purpose To develop a deep learning-based, computer-aided diagnosis (CADx) model for preoperative cla...
BACKGROUND: Digital technologies and artificial intelligence (AI) are transforming medical diagnosti...
Purpose To develop a self-supervised chest CT foundation model and evaluate its performance in lung ...