Breast Cancer

Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Artificial intelligence (AI) is emerging as a technology with the power to transform established ind...

Adjuvant Pressurized IntraPeritoneal Aerosol Chemotherapy (PIPAC) in resected high-risk colon cancer patients - study protocol for the PIPAC-OPC3 Trial. A prospective, controlled phase 2 Study.

BACKGROUND: Peritoneal metastasis (PM) is the second most common site of recurrence in colon cancer ...

Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks.

Mammography is the most popular technology used for the early detection of breast cancer. Manual cla...

The Future of Artificial Intelligence in Radiation Oncology.

MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network.

PURPOSE: This work aims to facilitate a fast magnetic resonance (MR)-only workflow for radiation the...

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

BACKGROUND: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the ris...

Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.

PURPOSE: Treatment effect or radiation necrosis after stereotactic radiosurgery (SRS) for brain meta...

Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology.

Inspired by gestalt psychology, we combine human cognitive characteristics with knowledge of radiolo...

Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning.

INTRODUCTION: The purpose of this study is to explore 13 cytokine predictors of chemotherapy-related...

A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Heart motion tracking for radiation therapy treatment planning can result in effective motion manage...

Flexible robotic catheters in the visceral segment of the aorta: advantages and limitations.

Flexible robotic catheters are an emerging technology which provide an elegant solution to the chall...

Re: Impact of Suboptimal Neoadjuvant Chemotherapy on Peri-Operative Outcomes and Survival after Robot-Assisted Radical Cystectomy: A Multicentre Multinational Study.

Detecting and classifying lesions in mammograms with Deep Learning.

In the last two decades, Computer Aided Detection (CAD) systems were developed to help radiologists ...

Using Big Data Analytics to Advance Precision Radiation Oncology.

Big clinical data analytics as a primary component of precision medicine is discussed, identifying w...

Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of pros...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great...

Palliative analgesia with topical sevoflurane in cancer-related skin ulcers: a case report.

A Caucasian 39-year-old male patient with a poorly-differentiated infiltrating epidermoid penile car...

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Cancers that appear pathologically similar often respond differently to the same drug regimens. Meth...

Cockcroft-Gault, Modification of Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations for estimating glomerular filtration rates in cancer patients receiving cisplatin-based chemotherapy.

BACKGROUND: Although the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation has be...

Cytotoxic, Apoptotic and Genotoxic Effects of Lipid-Based and Polymeric Nano Micelles, an In Vitro Evaluation.

Self-assembly systems (SAS) mainly consist of micelles, and liposomes are the classes of Nano Drug D...