Oncology/Hematology

Bibliometric analysis of bone metastasis from prostate cancer research from 2007 to 2024.

BACKGROUND: Prostate cancer (PCa) is one of the most common cancer in men worldwide, while numerous scientific achievements have been made in research on Bone metastasis in prostate cancer (BMPCa) in recent years, a comprehensive and objective bibliometric analysis remains absent. This study aimed to elucidate the overall literature distribution and international frontier research direction of BMP...

Navigated hepatic tumor resection using intraoperative ultrasound imaging.

PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely on registration to preoperative imaging, the proposed system provides navigation-guided resection using 3D models generated from intraoperative ultrasound. METHODS: A pilot study was conducted in 25 patients undergoi...

Evaluation of GPT-5 for Esophageal Cancer Staging Using Fluorodeoxyglucose Positron Emission Tomography Maximum-Intensity Projection Images: Comparative Pilot Study.

BACKGROUND: Accurate esophageal cancer staging relies on 18F fluorodeoxyglucose positron emission tomography (18F FDG-PET), but its interpretation is ...

Comments on "A multi-omics pipeline integrating machine learning and spatial-cellular analysis identifies SASH1 as a prognostic biomarker and therapeutic target in head and neck squamous cell carcinoma".

AI-Driven Patient Screening for Clinical Trials in Pancreatic Cancer: The PANCR-AI Pilot Retrospective Comparative Study.

BACKGROUND: Screening for clinical trials is challenging for clinicians due to its time-consuming and repetitive nature. The rise of artificial intell...

Large language model and Gd-EOB-DTPA-enhanced MRI-based risk stratification system for postoperative hepatocellular carcinoma: a multicenter study.

OBJECTIVE: To develop and validate a Fully Automated Stratification System (FASS) integrating serum biomarkers, automated radiomic features, and large...

Influence of sex differences among endoscopists in gastric cancer and precancerous condition detection rate during EGD in the artificial intelligence era: a retrospective study.

AIMS: This study investigated whether endoscopist sex is associated with the detection of gastric precancerous conditions and neoplasia during esophag...

Robust predictors for drug response of patients with acute myeloid leukemia.

The significant heterogeneity in treatment responses among patients with acute myeloid leukemia (AML) underscores the critical need for accurate drug ...

Mask - Region-based Convolutional Neural Networks (R-CNN) with Radiomics Integration and Gray Level Co-occurrence Matrix (GLCM) for brain tumor detection and segmentation.

Early diagnosis of brain tumors is important for successful treatment and better patient consequences in industrial information systems. This research...

Hyperspectral imaging for intraoperative brain tumor identification through fusion of spectral, textural, and spectral index features.

Brain tumor is a common neurological surgical disease, where surgical resection is the primary treatment method. Neurosurgeons need to accurately dete...

Non-invasive differentiation of light chain amyloidosis and multiple myeloma based on Raman spectroscopy analysis using one-dimensional convolutional neural networks.

Light chain amyloidosis (AL) and multiple myeloma (MM) are interrelated plasma cell disorders characterized by malignant proliferation, yet they demon...

Explainable machine learning framework for the molecular classification of triple negative breast cancer.

BACKGROUND AND OBJECTIVE: The difference in molecular characteristics of Triple negative breast cancer (TNBC) aids in distinguishing between its four ...

Multivariate feature analysis of early-stage laryngeal cancer serum components using surface-enhanced Raman spectroscopy.

Laryngeal cancer is a common head-and-neck malignant tumor with geographically variable incidence. Its lack of specific early clinical symptoms often ...

A transformer and 3D CNN-based feature fusion network with interpretable ability for Raman spectra analysis: improving the diagnosis of thyroid cancer.

Accurate differentiation of benign and malignant thyroid lesions continues to pose a significant clinical challenge. Raman spectroscopy offers label-f...

Efficient self-supervised Barlow Twins from limited tissue slide cohorts for colonic pathology diagnostics.

Colorectal cancer (CRC) is one of the few cancers that have an established dysplasia-carcinoma sequence that benefits from screening. Everyone over 50...

The emerging role of antibody-drug conjugates in EGFR-mutant non-small cell lung cancer with acquired resistance to third-generation EGFR tyrosine kinase inhibitors.

Resistance to third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) presents a significant clinical challenge for...

MRI-based deep learning and radiomics for preoperative prediction of P53abn endometrial cancer: A multicenter study.

PURPOSE: To develop and validate a non-invasive magnetic resonance imaging (MRI)-based deep learning and radiomics approach for the preoperative diffe...

Multicentre development and validation of a risk model integrating immunotherapy and coagulation biomarkers for thrombosis in autoimmune neurological disorders.

PURPOSE: Patients with Autoimmune Neurological Disorders (ANDs) require routine immunomodulatory therapy, which inherently increases thrombosis risk. ...

Machine learning based on clinical and gene expression data assists in survival prediction and treatment optimization for diffuse large B-Cell lymphoma patients.

Diffuse large B-cell lymphoma (DLBCL) is an aggressive and common subtype of non-Hodgkin lymphoma (NHL). Despite the availability of several risk stra...

Artificial intelligence for the prediction of synchronous and metachronous liver metastasis in colorectal cancer patients: a systematic review and meta-analysis.

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer mortality in the world. Liver is the most c...