Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections ...
BACKGROUND AND OBJECTIVES: Prior studies have shown that small non-coding RNAs (sncRNAs) are associa...
BACKGROUND AND OBJECTIVE: Echo features of lymph nodes (LNs) influence target selection during endob...
Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cance...
Colorectal cancer (CRC) remains a formidable threat to human health, with considerable challenges pe...
Skin cancer is the most dominant and critical method of cancer, which arises all over the world. Its...
Current breast cancer diagnosis methods often face limitations such as high cost, time consumption, ...
Programmed cell death (PCD) plays a critical role in cancer biology, influencing tumor progression a...
BACKGROUND: Immune checkpoint inhibitors (CPIs) have revolutionized cancer therapy for several tumor...
The Artificial Intelligence Patient Librarian (AIPL) was designed to meet the psychosocial and suppo...
Brain tumors refer to the abnormal growths that occur within the brain's tissue, comprising both pri...
PURPOSE: To segment the lung tumor on kilo-voltage X-ray radiographic images acquired during treatme...
OBJECTIVE: Â Ovarian cancer's complexity and heterogeneity pose significant challenges in treatment, ...
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to ...
Cancer treatment has made significant advancements in recent decades, however many patients still ex...
Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early dete...
OBJECTIVES: This study aimed to develop an artificial intelligence-assisted model for the preoperati...
BACKGROUND: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is cruci...
PURPOSE: Radiological follow-up of oncology patients requires the detection of metastatic lung lesio...
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...
PURPOSE OF REVIEW: By leveraging models such as large language models (LLMs) and generative computer...