Jan Freyberg
banner
janfreyberg.com
Jan Freyberg
@janfreyberg.com
Machine Learning researcher at Google Health, working on human centered medical AI. Trained in neuroscience, untrained but enthusiastic cyclist
Reposted by Jan Freyberg
>10 years on and i still haven't seen a single question answered with clustering
August 12, 2025 at 12:32 PM
Zuhause 😁
July 27, 2025 at 2:24 PM
a Stulle
July 9, 2025 at 5:27 AM
Reposted by Jan Freyberg
John «most of my published research is wrong» Ioannidis
July 1, 2025 at 12:59 PM
Couldn't agree with this more. They also don't have particularly good editorial oversight, as @stephenkb.bsky.social has pointed out for BBC news.
June 20, 2025 at 10:38 AM
Thanks to all of the fantastic co-authors, none of whom are on here AFAIK :)
May 6, 2025 at 11:21 AM
The full paper is here: www.gstatic.com/amie/multimo...
www.gstatic.com
May 6, 2025 at 11:21 AM
More interesting: AMIE was also rated better on a whole host of criteria, by both the patient actors, and by specialists. Patient actors had a better experience, felt that they AMIE was better at addressing their concerns about things shown in images, and interpreted images correctly more often.
May 6, 2025 at 11:21 AM
When comparing diagnostic accuracy, AMIE performed better:
May 6, 2025 at 11:21 AM
We compared multimodal AMIE to clinicians in an OSCE study: Trained patient actors held (blinded) conversations with AMIE and PCPs based on cases in which image information was crucial.
We used three image types: dermatology pics, scans and snaps of lab reports, and printouts of ECGs.
May 6, 2025 at 11:21 AM
Multimodal AMIE is built on a state-aware reasoning framework in which the AI navigates a diagnostic conversation by asking at every state: What's known about the case? What is the current differential? And what information could help narrow down that differential?
May 6, 2025 at 11:21 AM
Gone in 120 seconds
May 6, 2025 at 2:03 AM