Latest AI and machine learning research in other cancers for healthcare professionals.
BackgroundPeople living with dementia (PLWD) with advanced illness are prone to respiratory distress...
To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-s...
Uveal melanoma (UVM) is an aggressive intraocular malignancy with a high risk of metastasis but few ...
Multicellular programs in the tumour microenvironment (TME) drive cancer pathogenesis and response t...
Circulating tumour cells (CTC) are rare cells shed from primary and metastatic tumours into the bloo...
INTRODUCTION: Renal cell carcinoma (RCC) most commonly metastasizes to the lungs and shares risk fac...
Focused ultrasound (FUS) is an emerging therapeutic and diagnostic technology in neuro-oncology, off...
Preclinical immunotherapy research relies heavily on animal tumor models, which can be broadly class...
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 AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortal...
OBJECTIVE: To conduct a systematic review and meta-analysis evaluating the diagnostic performance of...
OBJECTIVES: The increasing presence of artificial intelligence (AI), electronic patient-reported out...
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...
The self-assembly of block copolymers (BCPs) in solution is a primary method for creating functional...
PURPOSE: To evaluate the feasibility and diagnostic performance of ultra-low-dose CT (ULD-CT) for sc...