Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVES: To characterize clinical-pathologic tumor features associated with artificial intelligen...
The rapid and accurate detection of multiple cancers presents considerable challenges, especially fo...
BACKGROUND: Oral squamous cell carcinoma (OSCC) remains a leading cause of cancer-related morbidity ...
Leukemia is a life-threatening blood cancer requiring rapid and accurate diagnosis to improve patien...
BACKGROUND: Artificial intelligence (AI) has emerged as a transformative tool in oral oncology, enab...
Online adaptive radiotherapy (oART) represents a major evolution in radiation oncology, enabling dai...
In vivo chimeric antigen receptor (CAR) cell therapy is undergoing a transformative shift from conve...
BACKGROUND: Artificial intelligence (AI) is increasingly recognized for its potential to transform c...
Advancing global health equity requires a paradigm shift in precision oncology, which currently rema...
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) alleviates motor symptoms in Parkinson...
Intraoperative frozen section pathological diagnosis of lung adenocarcinoma serves as the gold stand...
PURPOSE: Unilateral condylar hyperplasia (UCH) is a rare mandibular growth disorder in which accurat...
PURPOSE: Lung metastasis in breast cancer (BCLM) is a critical determinant of poor prognosis, occurr...
Surface-enhanced Raman spectroscopy (SERS) offers exceptional sensitivity and specificity for biomol...
Thoracic radiotherapy for lung cancer patients followed by radiation pneumonitis (RP) has significan...
OBJECTIVE: To estimate the performance of machine learning models based on preoperative three-dimens...
INTRODUCTION: Historically, KRAS mutations have been notoriously difficult to target despite their s...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects up to 30% of ...
Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personaliz...
Current image-based deep learning models that predict the benefits of immunotherapy in non-small cel...
AIM: To investigate the effect of deep learning-based reconstruction (DLR) technology on image quali...