Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Early and accurate identification of lymphatic node metastasis (LNM) and lymphatic vascu...
BACKGROUND AND PURPOSE: To develop a computed tomography (CT)-based deep learning model to predict o...
BACKGROUND: The rise of artificial intelligence (AI) in medicine has revealed the potential of ChatG...
Clinicopathological presentations are critical for establishing a postoperative treatment regimen in...
. Precise hepatocellular carcinoma (HCC) detection is crucial for clinical management. While studies...
Mechanistic learning refers to the synergistic combination of mechanistic mathematical modeling and ...
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction pote...
High-throughput technologies are becoming increasingly important in discovering prognostic biomarker...
Noninvasive differential diagnosis of brain tumors is currently based on the assessment of magnetic ...
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classi...
Timely detection of Barrett's esophagus, the pre-malignant condition of esophageal adenocarcinoma, c...
Mitosis is the process by which eukaryotic cells divide to produce two similar daughter cells with i...
Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clini...
The indirect assessment of adverse effects on fertility in cynomolgus monkeys requires that tissue s...
BACKGROUND AND OBJECTIVE: Deep Learning models have emerged as a significant tool in generating effi...
OBJECTIVE: Assess the capabilities of ChatGPT-3.5 and 4 to provide accurate diagnoses, treatment opt...
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in t...
Colorectal cancer is a significant global health concern, necessitating effective screening strategi...
PURPOSE: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient out...
INTRODUCTION: Thinner slices are more susceptible in detecting small lesions but suffer from higher ...
Oncology has emerged as a crucial field of study in the domain of medicine. Computed tomography has ...