Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Early screening using low-dose computed tomography (LDCT) can reduce mortality caused by...
The incidence of thyroid cancer is increasing worldwide. Fine-needle aspiration (FNA) cytology is wi...
BACKGROUND: Early detection of high-risk nasopharyngeal carcinoma (NPC) recurrence is essential. We ...
OBJECTIVE: To develop and externally validate an updated artificial intelligence (AI) prediction sys...
Endometrial cancer (EC) is a fatal gynecologic tumor. Bioinformatic tools are increasingly developed...
BACKGROUND: Survival prognosis of patients with gastric cancer (GC) often influences physicians' cho...
Colorectal liver metastasis (CRLM) is challenging in the clinical treatment of colorectal cancer. Li...
Melanoma showcases a complex interplay of genetic alterations and intra- and inter-cellular morpholo...
BACKGROUND: Although there has been some progress in the treatment of primary uveal melanoma (UVM), ...
PURPOSE: A practical noninvasive method is needed to identify lymph node (LN) status in breast cance...
This study investigates the altered expression and CpG methylation patterns of histone demethylase ...
OBJECTIVES: To establish and validate a non-invasive deep learning (DL) model based on contrast-enha...
The tissue diagnosis of adenocarcinoma and intraductal carcinoma of the prostate includes Gleason gr...
PURPOSE: Signet ring cell carcinoma (SRCC) is a rare type of lung cancer. The conventional survival ...
This study presents a robust approach for the classification of ovarian cancer subtypes through the ...
Spinal bone lesions encompass a wide array of pathologies, spanning from benign abnormalities to agg...
Osteosarcoma (OS), as the most common primary bone cancer, has a high invasiveness and metastatic po...
This study developed an innovative biosensor strategy for the sensitive and selective detection of c...
Sleep staging is a crucial tool for diagnosing and monitoring sleep disorders, but the standard clin...
OBJECTIVES: This study utilizes [Tc]-methylene diphosphate (MDP) single photon emission computed tom...
OBJECTIVES: This study aimed to evaluate the potential of deep learning (DL)-assisted automated thre...