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Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

MRI image of an enlarged prostate.

NCI Uses AI to Take the Guesswork Out of Assessing Prostate Cancer Images

NCI researchers are using artificial intelligence (AI) to uncover additional information from medical images. This helps them not only to diagnose cancer but also to predict how it will progress and if it will re-occur.

Artist illustration of lungs set against a background of a stained pathology slide.

NCI-Funded Researchers Develop a New Model for Interpreting Pathology

Interpreting whole slide images can be a labor intensive and difficult task. A recent article describes a new approach that helps classify cancer and predict how it will progress.

A person wearing a stethoscope sits at a lap top computer. Above the keyboard are a number of small icons and dotted lines, signifying artificial intelligence. The letters "AI" appear just above the keyboard.

Artificial Intelligence Aids in Predicting Prostate Cancer

See how NCI researchers are using artificial intelligence to develop tools that may someday help oncologists make more informed decisions when caring for people with prostate cancer.

An illustrated colon is shown, cradled in the outstretched hands of a doctor wearing a white lab coat.

Machine Learning Helps Refine a New Approach for Early Colorectal Cancer Screening

NCI-funded researchers are using machine learning to help identify an early-warning screening approach for colorectal cancer.

A stick drawing of a person is shown inside an imaging machine. Circles with dots and dashes encircle the image, designating a high-tech approach to cancer imaging.

See What’s New in NCI’s Imaging Data Commons (IDC)

NCI’s Imaging Data Commons has new data available, and, thanks to AI and cloud computing, it’s easier than ever before to work with this imaging data.

open laptop with a picture of a brain and data charts on the screen. There are also other data themed icons including a data cloud, gears, and a magnifying glass.

Participate in the NCI Medical Image De-Identification Benchmark Challenge at MICCAI 2024

Explore this challenge if you’re a software tool developer interested in assessing how well your tool de-identifies medical images.

Abstract illustration showing breast cancer and how it might spread to nearby lymph nodes.

Machine Learning Blends Imaging and Clinical Data to Refine Breast Cancer Care

A new machine learning model blends image data with clinical and pathological information to tailor care for patients with breast cancer.

Spyglass over an illustrated pancreas. Symbolizes the research underway to better understand the pancreas and pancreatic cancer.

Automated AI Model Aids in Early Detection of Pancreatic Cancer

Do you specialize in pancreatic cancer? See how researchers are using artificial intelligence to find undetectable cancers on scans of seemingly normal pancreases, long before clinical symptoms are visible.

Automatic segmentation of the liver from CT scan of patient TCGA-DD-A1EH

New Artificial Intelligence and Medical Imaging Annotations Added to the NCI Imaging Data Commons

Explore a new interactive dashboard that includes data sets of advanced machine-generated segmentation of tumor and organ contents.

Illustration of a man’s upper torso, highlighting the lungs. In the background are dots and dashes to signify data. Concept is used to show the value of data in assessing lung disease.

Deep Learning Model Helps Predict Lung Cancer

A new deep learning model, called CXR-Lung-Risk, proved useful in identifying people at risk for dying from lung cancer or other lung disease, based on a single X-ray image.

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