Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: To stratify the risk of bacteremia at the time of emergency department (ED) admission in ...
PURPOSE: To identify independent determinants influencing therapeutic outcomes of initial radioactiv...
BACKGROUND: Actinic keratosis (AK) is a precancerous skin lesion with the potential to progress into...
BACKGROUND/AIM: Cisplatin resistance remains a major obstacle in advanced gastric cancer (GC). This ...
BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancr...
Osteosarcoma, the most common primary malignant bone tumour, presents significant treatment challeng...
BACKGROUND: Positioning accuracy in radiotherapy is critical for treatment outcomes, especially in h...
PURPOSE: To develop a deep learning (DL)-based automated segmentation model for rectal cancer on T2-...
PURPOSE: Ambiguous or incomplete documentation is a recurrent bottleneck in radiation oncology workf...
Computed tomography (CT) is essential for finding and diagnosing kidney tumors and cysts because goo...
Cardiac arrhythmia is increasingly encountered in patients with cancer, not only as a result of shar...
The tissue-level processes underpinning metastatic outgrowth remain unclear. We combined single-cell...
Accurate, non-invasive liver fibrosis detection is essential for chronic liver disease management, p...
The construction of concrete structures in high-altitude cold regions faces unique challenges, inclu...
Pediatric neuro-oncology is a critical field of neurosurgery, representing the leading cause of dise...
UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic...
PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy occurs in up to one-thir...
PURPOSE: Sarcopenia has already been widely investigated as a potential indicator of negative outcom...
PURPOSE: To investigate how annotation consistency influences deep learningbased auto-contouring per...
The purpose of this study was to investigate the efficacy of a three-dimensional (3D) deep learning ...
This study presents an integrated multitask deep learning framework for the automated analysis of ac...