Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Machine Learning-Based Real-Time Survival Prediction for Gastric Neuroendocrine Carcinoma.

BACKGROUND: This study aimed to develop a dynamic survival prediction model utilizing conditional su...

Deep Learning and Hyperspectral Imaging for Liver Cancer Staging and Cirrhosis Differentiation.

Liver malignancies, particularly hepatocellular carcinoma (HCC), pose a formidable global health cha...

Advancing lung cancer diagnosis: Combining 3D auto-encoders and attention mechanisms for CT scan analysis.

ObjectiveThe goal of this study is to assess the effectiveness of a hybrid deep learning model that ...

Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review.

BACKGROUND: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Ar...

Dilated SE-DenseNet for brain tumor MRI classification.

In the field of medical imaging, particularly MRI-based brain tumor classification, we propose an ad...

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.

Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Br...

Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.

BACKGROUND: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor p...

A multi-model machine learning framework for breast cancer risk stratification using clinical and imaging data.

PurposeThis study presents a comprehensive machine learning framework for assessing breast cancer ma...

Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis.

An efficient novel approach is introduced to predict the effectiveness of chemotherapy treatment in ...

Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma.

BACKGROUND: Glioblastoma (GBM) is a highly aggressive brain tumor associated with a poor patient pro...

The clinical application of artificial intelligence in cancer precision treatment.

BACKGROUND: Artificial intelligence has made significant contributions to oncology through the avail...

Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis.

OBJECTIVES: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great imp...

Integrating mitochondrial and lysosomal gene analysis for breast cancer prognosis using machine learning.

The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclea...

Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma.

BACKGROUND: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncog...

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