Oncology/Hematology

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

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Showing 211-231 of 15,190 articles
Development of a deep learning model for T1N0 gastric cancer diagnosis using 2.5D radiomic data in preoperative CT images.

Early detection and precise preoperative staging of early gastric cancer (EGC) are critical. Therefo...

Proteomic technologies for profiling cell-membrane/secretome interactions in brain metastatic cancer progression.

INTRODUCTION: The ability of cancer cells to disseminate from the primary tumor and form metastatic ...

Recent advances in applying machine learning to proton radiotherapy.

.: In radiation oncology, precision and timeliness of both planning and treatment are paramount valu...

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...

An autoencoder learning method for predicting breast cancer subtypes.

Heterogeneity of breast cancer poses several challenges for detection and treatment. With next-gener...

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...

Ferroptosis-disulfidptosis-related CHMP6 is a clinico-immune target in colorectal cancer.

BACKGROUND: Ferroptosis and disulfidptosis are newly discovered forms of regulated cell death that p...

The safety and accuracy of radiation-free spinal navigation using a short, scoliosis-specific BoneMRI-protocol, compared to CT.

PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...

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 ...

Development and validation of a nomogram model to predict postoperative delirium after resection of esophageal cancer.

The study aimed to establish and validate a nomogram model to predict postoperative delirium (POD) a...

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...

Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma.

Chloride channel accessory 1 (CLCA1) is considered a potential prognostic biomarker for colon adenoc...

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 ...

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