Oncology/Hematology

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

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Controversies and strengths of robot-assisted mastectomy.

Nipple-sparing mastectomy (NSM) is used to improve cosmetic outcomes while maintaining oncological s...

A deep-learning model using enhanced chest CT images to predict PD-L1 expression in non-small-cell lung cancer patients.

AIM: To develop a deep-learning model using contrast-enhanced chest computed tomography (CT) images ...

Deep Learning Approaches with Digital Mammography for Evaluating Breast Cancer Risk, a Narrative Review.

Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screeni...

Inference for treatment-specific survival curves using machine learning.

In the absence of data from a randomized trial, researchers may aim to use observational data to dra...

Deep-Learning Model of ResNet Combined with CBAM for Malignant-Benign Pulmonary Nodules Classification on Computed Tomography Images.

: Lung cancer remains a leading cause of cancer mortality worldwide. Accurately classifying benign p...

A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.

BACKGROUND AND OBJECTIVE: Precisely segmenting brain tumors using multimodal Magnetic Resonance Imag...

Imaging of lung cancer.

Lung cancer is the leading cause of cancer-related mortality globally. Imaging is essential in the s...

Is There a Role for Machine Learning in Liquid Biopsy for Brain Tumors? A Systematic Review.

The paucity of studies available in the literature on brain tumors demonstrates that liquid biopsy (...

Predicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasms.

BACKGROUND: F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is valuable for determini...

Robotic Function-Preserving Resection of Gastric Gastrointestinal Stromal Tumor.

INTRODUCTION: Gastric gastrointestinal stromal tumors (GISTs) located at the gastroesophageal juncti...

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.

A brain tumor is an abnormal mass of tissue located inside the skull. In addition to putting pressur...

Deep Learning Model Based on Dual-Modal Ultrasound and Molecular Data for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer.

RATIONALE AND OBJECTIVES: To carry out radiomics analysis/deep convolutional neural network (CNN) ba...

Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods.

OBJECTIVE: Brain Tumor diagnostic prediction is essential for assisting radiologists and other healt...

Machine learning for predicting survival of colorectal cancer patients.

Colorectal cancer is one of the most incident types of cancer in the world, with almost 2 million ne...

Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation.

BACKGROUND: The growing public interest and awareness regarding the significance of sleep is driving...

Application of Artificial Intelligence in Oncology Nursing: A Scoping Review.

BACKGROUND: Artificial intelligence (AI) has been increasingly used in healthcare during the last de...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...

Fully Automated Tumor Bud Assessment in Hematoxylin and Eosin-Stained Whole Slide Images of Colorectal Cancer.

Tumor budding (TB), the presence of single cells or small clusters of up to 4 tumor cells at the inv...

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