Latest AI and machine learning research in other cancers for healthcare professionals.
Delivering medical agents to diseased tissues has been challenging, leading researchers to study the...
BACKGROUND: Multiple endocrine neoplasia type 1 (MEN1) is a rare autosomal dominant disorder, accomp...
BACKGROUND: Fully automatic skull-stripping and tumor segmentation are crucial for monitoring pediat...
 The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...
Surgical and neuropathologists continuously search for new and disease-specific features, such as in...
INTRODUCTION: This study investigated the feasibility of single breath-hold (BH) diffusion-weighted ...
Normal cell development and prevention of tumor formation rely on the tumor-suppressor protein p53. ...
BACKGROUND: The heterogeneity of cancer makes it challenging to predict its response to immunotherap...
OBJECTIVES: This study aimed to evaluate and compare the efficacy and safety of different acupunctur...
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, representing approximatel...
BACKGROUND AND OBJECTIVE: Owing to the expansion of treatment options for metastatic hormone-sensiti...
BACKGROUND: Timely palliative care (PC) consultations offer demonstrable benefits for patients with ...
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radio...
Squamous cell carcinoma is a prevalent cancer type that affects various organs in the human body. Ma...
The subjectivity of morphological assessment and the overlapping pathological features of different ...
Sinonasal squamous cell carcinoma (SNSCC) is a rare tumor with a high 5-year mortality rate. However...
Head and neck squamous carcinoma (HNSC), characterized by a high degree of malignancy, develops in c...
Age-related macular degeneration (AMD) is a leading cause of blindness among the elderly worldwide. ...
Brain tumors are a significant health risk threatening humanity, and they seem to be unique challeng...
BACKGROUND AND OBJECTIVE: This study aims to assess the effectiveness of combining radiomics feature...