Latest AI and machine learning research in other cancers for healthcare professionals.
Analysis of tumors using single-cell and spatial modalities is critical to advance our understanding...
This article presents a robust and efficient framework for brain tumor segmentation based on deep le...
AIM: This study aims to develop and validate machine learning models for predicting recurrence in po...
BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling h...
Vision Transformers (ViTs) are one of the powerful tools in medical imaging, providing new possibili...
BACKGROUND: Tumor regression grading (TRG) is a core prognostic predictor of treatment outcomes in r...
BACKGROUND AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortal...
OBJECTIVES: The increasing presence of artificial intelligence (AI), electronic patient-reported out...
BACKGROUND: Artificial intelligence (AI) models are being increasingly integrated into clinical care...
Accurate classification of renal masses before treatment is crucial for therapeutic decision-making ...
AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiat...
BACKGROUND: Differentiating between spinal tuberculosis, pyogenic (bacterial) spondylitis and spinal...
Immunotherapy has long played a pivotal role in cancer treatment, and antigen-presenting cell (APC)-...
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health ...
BACKGROUND: Deep learning methods have made great progress in the automatic segmentation of nasophar...
Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely...
BACKGROUND: Melanoma represents a highly aggressive and metastatic form of malignant skin cancer. th...
Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by r...
This study explored the feasibility of developing a model that can diagnose positive and negative bo...
BACKGROUND: Characterisation of CT detected ovarian masses is challenging with overlapping imaging f...
OBJECTIVES: Timely identification of endometrial nonbenign lesions led to improved outcomes, but the...