5 days ago · They also found the model did well with predicting prognosis for 16 cancer types, especially for common cancers like breast, lung, and colorectal cancers. Moving forward, the MUSK approach to digital pathology could be generalized to other types of medical data, as well as biological data.

3 days ago · Purpose Many breast centers are unable to provide immediate results at the time of screening mammography which results in delayed patient care. Implementing artificial intelligence (AI) could identify patients who may have breast cancer and accelerate the time to diagnostic imaging and biopsy diagnosis. Methods In this prospective randomized, unblinded, controlled implementation study we ...

Jan 7, 2025 · Breast cancer detection could get a boost from artificial intelligence. When AI helped examine mammograms, doctors caught one more cancer case per 1,000 screened individuals compared with...

Jan 8, 2025 · The researchers collected microscopic slides of tissue sections, the associated pathology reports and follow-up data (including how the patients fared) from the national database The Cancer Genome Atlas for people with 16 major types of cancer, including breast, lung, colorectal, pancreas, kidney, bladder, head and neck.

Sep 4, 2024 · The AI model, which works by reading digital slides of tumor tissues, detects cancer cells and predicts a tumor’s molecular profile based on cellular features seen on the image with superior accuracy to most current AI systems.

Aug 1, 2023 · Artificial intelligence found more breast cancers than doctors with years of training and experience and cut doctors’ mammogram reading workload almost in half, a new early-stage study found....

Apr 18, 2024 · AI-powered software can automate interpretation of breast mammograms, ultrasounds, and MRI scans to get patients their results faster. AI techniques can help radiologists identify breast cancer that would have otherwise been undetectable in its early stages.

The innovative intersection of AI and breast cancer care promises to revolutionize disease screening, disease diagnosis, biomarker evaluation, prognostication, and treatment strategies by overcoming human limitations and achieving remarkable precision and efficiency.

The artificial intelligence-powered system integrates into breast cancer screening workflows to help radiologists identify breast cancer earlier and more consistently. Our published research shows that our technology can identify signs of breast cancer as well as trained radiologists.

Mar 5, 2023 · Advancements in A.I. are beginning to deliver breakthroughs in breast cancer screening by detecting the signs that doctors miss.