Skip to content Skip to navigation

Recent News

Sep 12 2019 | Posted In: News
The International Medical Informatics Association (IMIA) yearbook has named Probabilistic prognostic estimates of survival in metastatic cancer patients (PPES-Met) utilizing free-text clinical narratives as one of the best four papers (among 1,148 reviewed) published in 2018 Decision Support. Congratulations, Dr. Rubin!
Jun 7 2019 | Stanford News | Posted In: News
Radiologists improved their diagnoses of brain aneurysms with the help of an artificial intelligence algorithm developed by medical experts and computer scientists. Read more >>
Jun 5 2019 | Stanford Engineering Magazine | Posted In: News
Using artificial intelligence, engineers have developed a computer model that could help breast cancer experts detect the earliest signs of a tumor. Read more >> Related publication: A Probabilistic Model to Support Radiologists’ Classification Decisions in Mammography Practice
Apr 16 2019 | Radiology | Posted In: News
LInks: RSNA Press Release Roadmap Article: Part 1 Roadmap Article: Part 2 Abstract:
Apr 12 2019 | Github | Posted In: News
Andrew Ng’s lab and AIMI researchers released a labeled MRI Knee data for the world to use and participate in an open challenge for deep learning! The AIMI Center believes pursuing reproducibility and transparency of scientific results by making data (and models) from published work available for all to validate, iterate, and ultimately improve on will help everyone achieve better healthcare together as a community! Learn more>>