photo of fireworks

Gautam Machiraju and Alex Derry lead team for paper accepted for publication in the 2024 International Conference on Machine Learning in Vienna, Austria

A team led by senior BMI PhD students, Gautam Machiraju and Alex Derry, is excited to announce a new paper accepted for publication in the 2024 International Conference on Machine Learning (ICML) in Vienna, Austria. This work advances new modes of inference for Foundation Models, allowing them to efficiently and accurately identify class-specific features in various data modalities (sequences, images, graphs). This work was advised by multiple Stanford-based faculty including Parag Mallick, Christopher Ré, James Zou, and Russ Altman. Congrats to the team!

Manisha Desai

Manisha Desai op-ed in San Francisco Chronicle: “AI is transforming medicine, but there’s also too much unfounded hype”

“Recently, my colleagues and I at Stanford launched a study of a promising AI tool to screen for colon cancer. Earlier trials had suggested the tool could help doctors detect potentially cancerous growths called polyps during colonoscopies. Our study was one of the first to roll it out in a real-world clinical environment.

“What we found shocked us: The tool did not improve polyp detection rates or other outcomes. But then this is not the first artificial intelligence health care product that has failed to deliver.”

Read the op-ed here (note that the San Francisco Chronicle is behind a pay wall): https://www.sfchronicle.com/opinion/openforum/article/health-ai-research-medicine-hype-18712531.php