Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Barrett's esophagus (BE) is a precursor disease for esophageal adenocarcinoma. Timely detection and ...
Precisely distinguishing between malignant and benign lung tumors is pivotal for suggesting therapeu...
Advanced lung cancer diagnoses from radiographic images include automated detection of lung cancer f...
Imaging and image processing is the fundamental pillar of interventional oncology in which diagnosti...
INTRODUCTION: Artificial intelligence (AI) has the potential to transform oncologic care. There have...
PURPOSE: To prevent (chronic) cancer-related fatigue (CRF) after breast cancer, it is important to i...
OBJECTIVE: Magnetic resonance imaging (MRI) is efficient for the diagnosis of preoperative uterine s...
BACKGROUND: Urine cytology, although a useful screening method for urothelial carcinoma, lacks sensi...
BACKGROUND AND AIM: Chromoendoscopy with the use of indigo carmine (IC) dye is a crucial endoscopic ...
Bone cancer is a severe condition often leading to patient mortality. Diagnosis relies on X-rays, M...
OBJECTIVES: The objective of this study was to compare the surgical outcomes for pelvic lymph node d...
INTRODUCTION: Fifty per cent of patients with cancer require radiotherapy during their disease cours...
Immune therapy for cancer patients is a new and promising area that in the future may complement tra...
External stressors, such as ionizing radiation, have massive effects on life, survival, and the abil...
Manual delineation of organs at risk and clinical target volumes is essential in radiotherapy planni...
RATIONALE AND OBJECTIVES: To explore both an intratumoral heterogeneity (ITH) model based on habitat...
BACKGROUND: Long-term use of many classic chemotherapeutic agents as adjuncts in the management of p...
With an increasing number of patients with gastrointestinal cancer, effective and accurate early dia...
[This retracts the article DOI: 10.1155/2022/4132989.].
PURPOSE: Non-small cell lung cancer (NSCLC) stereotactic body radiation therapy with 50 Gy/5 fractio...
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultraso...