Oncology/Hematology

Brain Cancer

Latest AI and machine learning research in brain cancer for healthcare professionals.

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Showing 1429-1449 of 7,036 articles
Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...

Artificial intelligence across the cancer care continuum.

Artificial intelligence (AI) holds significant potential to enhance various aspects of oncology, spa...

Integrative multi-omics analysis reveals BEST1 as a potential tumor-associated gene in gliomas.

BACKGROUND: The newest glioma classification in WHO 2021 emphasizes the importance of gene mutations...

Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes.

UNLABELLED: Diagnostic delays in patients with brain cancer are common and can impact patient outcom...

Predicting p53 Status in IDH-Mutant Gliomas Using MRI-Based Radiomic Model.

OBJECTIVES: Accurate and noninvasive detection of p53 status in isocitrate dehydrogenase mutant (IDH...

Diagnostic Performance of ChatGPT-4.0 in Histopathological Analysis of Gliomas: A Single Institution Experience.

This study aimed to evaluate the performance of ChatGPT-4.0 as a diagnostic support tool for patholo...

Artificial intelligence applications in the screening and classification of glioblastoma.

Glioblastoma is the most aggressive primary brain tumor, with poor prognosis following initial ident...

Three-Dimensional Visualisation of Blood Vessels in Human Gliomas Using Tissue Clearing and Deep Learning.

Gliomas, with their intricate and aggressive nature, call for a detailed visualisation of their vasc...

Deep learning dosiomics for the pretreatment prediction of radiation dermatitis in nasopharyngeal carcinoma patients treated with radiotherapy.

PURPOSE: To develop a combined dosiomics and deep learning (DL) model for predicting radiation derma...

Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma.

Diffuse midline glioma (DMG) is a rare, aggressive, and fatal tumor that largely occurs in the pedia...

GBMPurity: A machine learning tool for estimating glioblastoma tumor purity from bulk RNA-sequencing data.

BACKGROUND: Glioblastoma (GBM) presents a significant clinical challenge due to its aggressive natur...

Machine learning-based estimation of occupational radiation dose in interventional cardiology.

In interventional cardiology, occupational radiation exposure for medical personnel can reach high l...

Real-Time Dose-Guided Radiation Therapy.

Dramatic strides have been made in real-time adaptive radiation therapy, where treating single tumor...

Optimization-based image reconstruction regularized with inter-spectral structural similarity for limited-angle dual-energy cone-beam CT.

. Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achiev...

Acquisition and Reconstruction Techniques for Coronary CT Angiography: Current Status and Trends over the Past Decade.

Coronary CT angiography (CCTA) has been widely used as a noninvasive modality for accurate assessmen...

A combined attention mechanism for brain tumor segmentation of lower-grade glioma in magnetic resonance images.

Low-grade gliomas (LGGs) are among the most problematic brain tumors to reliably segment in FLAIR MR...

CancerNet: A comprehensive deep learning framework for precise and intelligible cancer identification.

The medical community continually seeks innovative solutions to address healthcare challenges, parti...

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