2 days ago · “Compared to the traditional AI approach, you can leverage unlabeled, large-scale, diverse data, so you don’t have to ask human experts to label them,” said Ruijiang Li, Stanford associate professor (research) of radiation oncology, whose lab focuses on applying machine and deep learning to medical imaging analysis and precision oncology ...

Jan 14, 2025 · AI has emerged as a practical tool in cancer intervention and treatment in a variety of ways. We’ve already seen similar applications in this realm as we have with treatment and prevention. For example, a 2023 study showed that AI can have a crucial impact on precision medicine and the development of treatment plans.

Jan 8, 2025 · Now researchers at Stanford Medicine have developed an AI model able to incorporate visual and language-based information. After training on 50 million medical images of standard pathology slides and more than 1 billion pathology-related texts, the model outperformed standard methods in its ability to predict the prognoses of thousands of people with diverse types of cancer, to identify which ...

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.

Sep 4, 2024 · This new AI approach successfully identified features associated with several important genes related to cancer growth and suppression, and it predicted key genetic mutations related to how well a tumor might respond to various standard therapies.

Discover the latest artificial intelligence (AI) funding opportunities and events offered by NCI to advance cancer research. NCI research is advancing the use of AI across the spectrum of cancer research and care, including mechanisms of cancer, cancer screening and diagnosis, drug discovery, cancer surveillance, and health care delivery.

Apr 30, 2024 · With hypothesis-driven AI, researchers look to find ways to incorporate an understanding of a disease, for example, integrating known pathogenic genetic variants and interactions between certain genes in cancer into the design of the learning algorithm.

Recent advances in Artificial Intelligence (AI) have converged to rapidly accelerate activity across the cancer research spectrum. AI can create new models of care, as well as advance our knowledge of cancer biology, in an ever-expanding world of technology.

Artificial intelligence (AI), which is used to predict and automate many cancers, has emerged as a promising option for improving healthcare accuracy and patient outcomes. AI applications in oncology include risk assessment, early diagnosis, patient prognosis estimation, and treatment selection based on deep knowledge.

Oct 20, 2023 · Artificial intelligence (AI) is leading the way with rapidly growing and revolutionary technological advancements in cancer research. New sophisticated AI models, datasets, applications, and more are being created to support clinicians, researchers, and scientists in improving patient diagnoses, treatments, and care.