Oncology/Hematology

Brain Cancer

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

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Showing 1870-1890 of 6,123 articles
DUNE: a versatile neuroimaging encoder captures brain complexity across three major diseases: cancer, dementia and schizophrenia

Magnetic resonance images (MRI) of the brain exhibit high dimensionality that pose significant chall...

Performance of an artificial intelligence foundation model for prostate radiotherapy segmentation

Artificial intelligence (AI) foundation models such as Segment Anything Model 2 (SAM 2) offer potent...

Automated Detection of Faciobrachial Dystonic Seizures Related Events in LGI1 Autoimmune Encephalitis Patients with Wearables

To evaluate the potential of wrist-worn wearable devices to detect and quantify Faciobrachial Dyston...

Neurosurgery and Artificial Intelligence: A Metric Analysis of Scopus-Indexed Original Articles (2014-2023)

A comprehensive analysis of artificial intelligence’s (AI) integration into neurosurgery is vital to...

Artificial Intelligence in Neuro-Oncology: Assessing ChatGPT’s Accuracy in MRI Interpretation and Treatment Advice

Large language models (LLMs) have demonstrated advanced capabilities in interpreting text and visual...

A Novel Swarm Intelligence-Driven Feature Selection for Interpretable Machine Learning in GBM Overall Survival Analysis

In this study, we develop and validate an interpretable machine learning (ML) model that integrates ...

Integration of MRI radiomics and germline genetics to predict the IDH mutation status of gliomas

The molecular profiling of gliomas for isocitrate dehydrogenase (IDH) mutations currently relies on ...

Automatic Quantification of Ki-67 Labeling Index in Pediatric Brain Tumors Using Qupath

The quantification of the Ki-67 labeling index (LI) is critical for assessing tumor proliferation an...

Detecting neurodegenerative changes in glaucoma using deep mean kurtosis-curve–corrected tractometry

Glaucoma is increasingly recognized as a neurodegenerative condition involving both retinal and cent...

Revealing the Infiltration: Prognostic Value of Automated Segmentation of Non-Contrast-Enhancing Tumor in Glioblastoma

Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maxi...

AI-Powered Segmentation and Prognosis with Missing MRI in Pediatric Brain Tumors

Brain MRI is the main imaging modality for pediatric brain tumors (PBTs); however, incomplete MRI ex...

Evaluation of Large Language Model-Generated Patient Information for Communicating Radiation Risk

Large language models are increasingly used to generate patient information in healthcare. However, ...

Cross-Modal Deep Learning for Integrated Molecular Diagnosis of Cancer: A Prospective Multicenter Study

Accurate integration of histological and molecular features is central to modern cancer diagnostics,...

White matter characterization in regions of edema surrounding meningioma brain tumor using diffusion MRI

White matter (WM) tract detection is critical in presurgical planning of tumor resection however, st...

Stacked CNN Architectures for Robust Brain Tumor MRI Classification

Brain tumor classification using MRI scans is crucial for early diagnosis and treatment planning. In...

Deep learning-based identification of necrosis and microvascular proliferation in adult diffuse gliomas from whole-slide images

For adult diffuse gliomas (ADGs), most grading can be achieved through molecular subtyping, retainin...

Deep Learning-Assisted Skeletal Muscle Radiation Attenuation at C3 Predicts Survival in Head and Neck Cancer

Head and neck cancer (HNC) patients face an increased risk of malnutrition due to lifestyle, tumor l...

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