This video is entirely AI generated and does not replicate any original material. It should not be considered a substitute for authentic sources. For complete context and techniques, viewers are encouraged to refer to the original content.
Based on findings from:
-
An actionable machine learning–driven clinicogenomic model as a predictor of brain metastasis risk in breast cancer.
Luke Pike, et al.. 2026.
-
ASCO Using Ryght AI’s Advanced Platform to Accelerate Site Selection for Breast Cancer Clinical Trial
-
Performance of a large language model on the reasoning tasks of a physician
Peter G. Brodeur, et al.. Science, 2026.
DOI: 10.1126/science.adz4433
Weekly News Brief: June 8–12, 2026
To catch up on all of the news from this past week, listen to our weekly news brief for the week of June 8–12, 2026.
This week’s brief covers a machine learning model that predicts brain metastasis risk in patients with metastatic breast cancer, an ASCO collaboration using AI to speed up clinical trial site selection, and a study showing large language models outperformed physicians in clinical reasoning tasks.
To learn more about CNSPredict, read "Machine Learning Model Identifies Patients With Metastatic Breast Cancer at High Risk for Brain Metastases," or see the abstract.
For more information on ASCO's collaboration with Ryght AI, read "ASCO and Ryght AI Collaboration Aims to Accelerate CDK Clinical Trial Site Selection," or see the announcement.
To learn more about LLM clinical reasoning, read "Can AI Support Oncology Workflows? Study Finds LLMs Outperformed Physicians in Several Reasoning Tasks," or see the source report in Science.
Disclaimer: This newscast was generated with the assistance of AI tools and avatars. All content is reviewed and approved by the editorial staff of ASCO AI in Oncology. Contact us with any questions.
The ideas and opinions expressed in ASCO AI in Oncology do not necessarily reflect those of Conexiant or ASCO. The mention of any company, product, service, or therapy should not be construed as an endorsement of any kind. Conexiant and ASCO assume no responsibility for any injury or damage to persons or property arising out of or related to any use of material contained in this publication or to any errors or omissions.