Assessing Large Language Models for Oncology Data Inference From Radiology Reports.
Saved in:
| Title: | Assessing Large Language Models for Oncology Data Inference From Radiology Reports. |
|---|---|
| Authors: | Chen LC; University of California, Berkeley, Berkeley, CA.; University of California, San Francisco, San Francisco, CA., Zack T; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA., Demirci A; University of California, Berkeley, Berkeley, CA., Sushil M; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Miao B; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Kasap C; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA., Butte A; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Collisson EA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA., Hong JC; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA. |
| Source: | JCO clinical cancer informatics [JCO Clin Cancer Inform] 2024 Dec; Vol. 8, pp. e2400126. Date of Electronic Publication: 2024 Dec 11. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101708809 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4276 (Electronic) Linking ISSN: 24734276 NLM ISO Abbreviation: JCO Clin Cancer Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
