Katherine Chou
- Greg S. Corrado
- Alvin Rajkomar
- Andre Esteva
- Jeff Dean
- Karan Singhal
- Vivek Natarajan
- Claire Cui
- Jay B. Dean
- Alexandre Robicquet
- Bharath Ramsundar
- Volodymyr Kuleshov
- Mark A. DePristo
- Sebastian Thrun
- Shekoofeh Azizi
- Tao Tu
- S. Sara Mahdavi
- Jason Lee
- Hyung Won Chung
- Nathan Scales
- Ajay Kumar Tanwani
- Heather Cole-Lewis
- Stephen Pfohl
- Perry W. Payne
- Martin Seneviratne
Katherine Chou
collaborator
line weight = collaboration weight
Works in this corpus
| Title | Position | Year | Cited |
|---|---|---|---|
| A guide to deep learning in healthcare | middle | 2018 | 5,126 |
| Large language models encode clinical knowledge | middle | 2023 | 3,721 |
| Scalable and accurate deep learning with electronic health records | middle | 2018 | 2,398 |
Is this one person?
This record is probably one person, but at least one signal is weak. Check the evidence below before relying on the totals.
- supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
- supports2 distinct name form(s) across this row's works, counting a spelled-out given name and its initial as one form.
- supportsAt most 1 distinct institution(s) inside any five-year window, which is a normal career.
- weakensOnly 44% of this row's works sit in its single largest field, so this record spreads across subjects a single researcher rarely spans.
- neutralConfidence is judged on the 3 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.