Oncology/Hematology

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

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Showing 2521-2541 of 15,297 articles
Predicting distant metastasis of bladder cancer using multiple machine learning models: a study based on the SEER database with external validation.

BACKGROUND AND PURPOSE: Distant metastasis in bladder cancer is linked to poor prognosis and signifi...

Development of a urine-based metabolomics approach for multi-cancer screening and tumor origin prediction.

BACKGROUND: Cancer remains a leading cause of mortality worldwide. A non-invasive screening solution...

Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model.

OBJECTIVE: To explore the value of combined radiomics and deep learning models using different machi...

Prediction of mucinous adenocarcinoma in colorectal cancer with mucinous components detected in preoperative biopsy diagnosis.

OBJECTIVES: Endoscopic biopsy diagnosis for the preoperative assessment of mucinous components in pa...

Performance of image processing analysis and a deep convolutional neural network for the classification of oral cancer in fluorescence visualization.

The aim of this prospective study was to determine the effectiveness of screening using image proces...

Development of a centrosome amplification-associated signature in kidney renal clear cell carcinoma based on multiple machine learning models.

BACKGROUND: Centrosome amplification (CA) has been shown to be capable of initiating tumorigenesis w...

3D electron microscopy for analyzing nanoparticles in the tumor endothelium.

Delivering medical agents to diseased tissues has been challenging, leading researchers to study the...

CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound.

Breast cancer is a leading cause of mortality among women in Taiwan and globally. Non-invasive imag...

Deep Learning for Detecting and Subtyping Renal Cell Carcinoma on Contrast-Enhanced CT Scans Using 2D Neural Network with Feature Consistency Techniques.

 The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...

Artificial intelligence in surgical pathology - Where do we stand, where do we go?

Surgical and neuropathologists continuously search for new and disease-specific features, such as in...

Self-improving generative foundation model for synthetic medical image generation and clinical applications.

In many clinical and research settings, the scarcity of high-quality medical imaging datasets has ha...

Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.

The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained ...

Mapping the functional network of human cancer through machine learning and pan-cancer proteogenomics.

Large-scale omics profiling has uncovered a vast array of somatic mutations and cancer-associated pr...

Role of artificial intelligence in cancer detection using protein p53: A Review.

Normal cell development and prevention of tumor formation rely on the tumor-suppressor protein p53. ...

Assessing Large Language Models for Oncology Data Inference From Radiology Reports.

PURPOSE: We examined the effectiveness of proprietary and open large language models (LLMs) in detec...

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