Latest AI and machine learning research in other cancers for healthcare professionals.
The growing application of immune checkpoint inhibitors (ICIs) in cancer immunotherapy has underscor...
IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...
Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis f...
PURPOSE: Accurate internal target volume (ITV) estimation is essential for effective and safe radiat...
BACKGROUND: Ovarian cancer (OC), owing to its substantial heterogeneity and high invasiveness, has h...
The advent of sophisticated image analysis techniques has facilitated the extraction of increasingly...
Circulating tumor cells (CTCs) are vital indicators of metastasis and provide a non-invasive method ...
RATIONALE AND OBJECTIVES: The classification of renal cell carcinoma (RCC) histological subtypes pla...
BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade...
Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...
BACKGROUND: In colorectal cancer (CRC) screening programs, accurately identifying individuals at hig...
BACKGROUND AND OBJECTIVE: Accurate medical tumor segmentation is critical for early diagnosis and tr...
The most prevalent malignancy among women is breast cancer; hence, treatment approaches are needed i...
Intratumor heterogeneity (ITH) is involved in tumor evolution and drug resistance. Drug sensitivity ...
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become i...
Equitable cancer care in low- and middle-income countries is crucial as mortality rates continue to ...
INTRODUCTION: The use of artificial intelligence in hematology laboratories has improved the diagnos...
Longitudinal liver tumor segmentation plays a fundamental role in studying and monitoring the progre...
BACKGROUND CONTEXT: A machine learning (ML) model was recently developed to predict massive intraope...
Liquid biopsy (LB) has emerged as a transformative tool in oncology, providing a minimally invasive ...
PURPOSE: This study aims to develop an artificial intelligence model to predict severe radiation-ind...