Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Time to local failure after stereotactic radiosurgery (SRS), including Gamma Knife radio...
To address opaque decision-making and performance bottlenecks caused by limited samples and physiolo...
BACKGROUND: Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incid...
BACKGROUND: Detection of occult cervical lymph node metastases is critical for accurate staging and ...
CONTEXT: Radiomics may capture tumor characteristics predicting therapeutic response. OBJECTIVE: To ...
TP53 mutations occur in over 50% of human cancers and generate shared neoantigens, including p53R273...
BACKGROUND AND AIMS: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignan...
Triple-negative breast cancer (TNBC) is an aggressive subtype with a high propensity for bone metast...
BACKGROUND: The significant sonographic overlap between metastatic and ultrasound-atypical reactive ...
STUDY DESIGN: Multicenter prospective cohort study; secondary analysis. OBJECTIVE: To evaluate predi...
BACKGROUND: As society is increasingly depending on large language models (LLMs) for health-related ...
OBJECTIVES: The research question was: How accurate is artificial intelligence (AI) in diagnosing Or...
Ensemble methods for image segmentation improve performance by combining predictions from multiple m...
BACKGROUND: Prescription dose selection for lung brain metastases treated with stereotactic radiosur...
PURPOSE: To evaluate the quality and accuracy of YouTube videos regarding PET/CT radiation safety an...
BACKGROUND: AI is increasingly being integrated into cancer screening, treatment, and patient care. ...
INTRODUCTION: Computed tomography (CT) scan range planning is a modifiable determinant of radiation ...
Cancer diagnosis continues to rely on invasive tissue sampling and static molecular assessments that...
INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are u...
PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool opt...
RATIONALE AND OBJECTIVES: This study aimed to develop and validate an interpretable model using pret...