Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Lateral pelvic lymph node dissection (LPLND) in rectal cancer has gained increasing traction worldwi...
AIMS: Artificial intelligence has the potential to transform the radiotherapy workflow, resulting in...
BACKGROUND: Detecting brain tumors in their early stages is crucial. Brain tumors are classified by ...
The latest developments in the management of head and neck cancer show an increasing trend in the im...
The aim of this study was to compare survival outcomes of robot-assisted laparoscopic radical hyste...
BACKGROUND AND PURPOSE: The aim of this study was to develop and evaluate a prediction model for 2-y...
Lung cancer is one of the malignant tumors with the highest incidence and mortality in the world. Th...
BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a firs...
OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for...
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer. Neoadjuvant systemic...
PURPOSE: We analyzed clinical features and the representative HE-stained pathologic images to predic...
BACKGROUND: Surgical intervention remains the cornerstone of a multidisciplinary approach in the tre...
Chemotherapy is still the most effective technique to treat many forms of cancer. However, it also c...
PURPOSE: The purpose of this study was to assess if radiologists assisted by deep learning (DL) algo...
An omentectomy is a standard component care of gynecological cancers, particularly for surgical stag...
The Internet of Things (IoT) has penetrated many aspects of everyday human life. The use of IoT in h...
BACKGROUND AND PURPOSE: The problem of obtaining accurate primary gross tumor volume (GTVp) segmenta...
OBJECTIVE: Prediction of malignant middle cerebral artery infarction (MMI) could identify patients f...
Automatic segmentation of rodent brain tumor on magnetic resonance imaging (MRI) may facilitate biom...
This paper describes the process of developing a classification model for the effective detection of...
Artificial intelligence has been entering medical research. Today, manufacturers of diagnostic instr...