Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Showing 127-147 of 8,290 articles
Artificial intelligence in pancreatic intraductal papillary mucinous neoplasm imaging: A systematic review.

Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management o...

The evolving therapeutic landscape of Graves' disease in adults: present and future.

The therapeutic landscape of Graves' hyperthyroidism has been rapidly evolving in the past few years...

Machine Learning-Enhanced Single-Particle Tracking for Rapid Screening of Tumor Immunomodulatory Drugs.

The tumor microenvironment plays a critical role in tumor progression and immune response, with the ...

"Small extracellular vesicles: messengers at the service of breast cancer agenda in the primary and distant microenvironments".

Breast cancer (BC) remains a leading cause of cancer-related mortality in women, with complex mechan...

Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment.

OBJECTIVE: The prevalence of asymptomatic pancreatic cysts is increasing due to advances in imaging ...

Accuracy and acceptability of self-sampling HPV testing in cervical cancer screening: a population-based study in rural Yunnan, China.

To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...

Colorectal Polyp Size Measurement Faces Infinite Possibilities: Artificial Intelligence Is the Key.

BACKGROUND: Colorectal neoplasia poses a severe health threat worldwide. The accurate measurement of...

A preliminary exploration of surgical strategies for solitary papillary thyroid carcinoma on the isthmus.

BACKGROUND: For solitary papillary thyroid carcinoma on the isthmic (SPTCI), there are currently no ...

2.5D Deep Learning-Based Prediction of Pathological Grading of Clear Cell Renal Cell Carcinoma Using Contrast-Enhanced CT: A Multicenter Study.

RATIONALE AND OBJECTIVES: To develop and validate a deep learning model based on arterial phase-enha...

Emerging Role of MRI-Based Artificial Intelligence in Individualized Treatment Strategies for Hepatocellular Carcinoma: A Narrative Review.

Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer, with significant ...

Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach.

As digital imaging technology advances, accurate classification of 2D breast cancer images becomes i...

Risk assessment and interventions for malignant ground-glass lung nodules.

Pulmonary ground-glass nodules (GGNs) have become a major problem owing to their high frequency, lim...

Artificial Intelligence for Tumor [F]FDG PET Imaging: Advancements and Future Trends - Part II.

The integration of artificial intelligence (AI) into [F]FDG PET/CT imaging continues to expand, offe...

Artificial intelligence on inflammatory dermatoses: where we are and where are we going?

BACKGROUND: Artificial intelligence (AI) is increasingly gaining ground in dermatology, with studies...

Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

BACKGROUND: While the TNM staging system provides valuable insights into the extent of disease, pred...

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