Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Since 1992, the incidence of lung cancer has shown an overall downward trend, with survi...
BACKGROUND: A major challenge facing prostate cancer (PCa) cells is oxidative stress, yet the precis...
Given the plethora of emerging technologies, none have truly captured the minds as CRISPR. From the ...
BACKGROUND: Prostate cancer (PCa) is a prevalent urological malignancy in men, with bone metastasis ...
BACKGROUND: With growing reliance on digital health tools, the readability of online medical content...
Cardiorespiratory-based methods offer promising alternatives to traditional PSG for longitudinal sle...
BACKGROUND: Metabolic reprogramming represents a hallmark feature of hepatocellular carcinoma (HCC)....
OBJECTIVE: To develop and validate a nomogram integrating artificial intelligence (AI)-extracted ult...
Prostate cancer is one of the most prevalent malignancies worldwide, necessitating the development o...
Very early recurrence (within one year) after curative hepatectomy significantly impairs long-term s...
Histopathology interpretation of lung cancer involves careful examination of tissue morphology, espe...
Oral potentially malignant disorders (OPMDs), particularly leukoplakia, represent critical precursor...
The clinical course of Mantle Cell Lymphoma (MCL) varies between individual patients. Early detectio...
BACKGROUND: Malignant Peripheral Nerve Sheath Tumors (MPNSTs) are aggressive sarcomas often arising ...
BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due ...
Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic reso...
Microvascular invasion (MVI) represents a critical prognostic determinant in hepatocellular carcinom...
PURPOSE: Among the extraintestinal ocular manifestations of patients with inflammatory bowel disease...
BACKGROUND: Intraoperative ultrasound plays a central role in hepatobiliary surgery for the detectio...
OBJECTIVES: This study aims to develop a predictive model that combines MRI radiomics features with ...
Lung cancer diagnosis increasingly relies on advanced medical imaging systems and expert interpretat...