Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Brain tumor detection in clinical applications is a complex and challenging task due to the intricat...
OBJECTIVES: Radiomics, a recently developed image-processing technology, holds potential in medical ...
OBJECTIVE: To investigate the accuracy of machine learning (ML) algorithms in stratifying risk of pr...
PURPOSE: This study investigated imaging biomarkers derived from PSMA-PET acquired pre- and post-met...
BACKGROUND: An artificial intelligence-based algorithm we developed, mrAI, satisfactorily segmented ...
BACKGROUND: Early screening using low-dose computed tomography (LDCT) can reduce mortality caused by...
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is wi...
BACKGROUND: Programmed cell death ligand 1 (PD-L1), as a reliable predictive biomarker, plays an imp...
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based auto...
Endometrial cancer screening is crucial for clinical treatment. Currently, cytopathologists analyze ...
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interf...
BACKGROUND: Early detection of high-risk nasopharyngeal carcinoma (NPC) recurrence is essential. We ...
Gamma Knife radiosurgery (GKRS) is a well-established technique in radiation therapy (RT) for treati...
OBJECTIVE: To develop and externally validate an updated artificial intelligence (AI) prediction sys...
High-order radiomic features have been shown to produce high performance models in a variety of scen...
Colorectal liver metastasis (CRLM) is challenging in the clinical treatment of colorectal cancer. Li...
BACKGROUND: Survival prognosis of patients with gastric cancer (GC) often influences physicians' cho...
The process of brain tumour segmentation entails locating the tumour precisely in images. Magnetic R...
Endometrial cancer (EC) is a fatal gynecologic tumor. Bioinformatic tools are increasingly developed...
Melanoma showcases a complex interplay of genetic alterations and intra- and inter-cellular morpholo...
To explore the value of CT-based radiomics machine learning models for differentiating enchondroma f...