Foundation models for generalist medical artificial intelligence
Author
Abstract
Suggested Citation
DOI: 10.1038/s41586-023-05881-4
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Soroosh Tayebi Arasteh & Tianyu Han & Mahshad Lotfinia & Christiane Kuhl & Jakob Nikolas Kather & Daniel Truhn & Sven Nebelung, 2024. "Large language models streamline automated machine learning for clinical studies," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Pengcheng Qiu & Chaoyi Wu & Xiaoman Zhang & Weixiong Lin & Haicheng Wang & Ya Zhang & Yanfeng Wang & Weidi Xie, 2024. "Towards building multilingual language model for medicine," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Weijian Huang & Cheng Li & Hong-Yu Zhou & Hao Yang & Jiarun Liu & Yong Liang & Hairong Zheng & Shaoting Zhang & Shanshan Wang, 2024. "Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Maksim Makarenko & Arturo Burguete-Lopez & Qizhou Wang & Silvio Giancola & Bernard Ghanem & Luca Passone & Andrea Fratalocchi, 2024. "Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Yujin Oh & Sangjoon Park & Hwa Kyung Byun & Yeona Cho & Ik Jae Lee & Jin Sung Kim & Jong Chul Ye, 2024. "LLM-driven multimodal target volume contouring in radiation oncology," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Junwei Cheng & Chaoran Huang & Jialong Zhang & Bo Wu & Wenkai Zhang & Xinyu Liu & Jiahui Zhang & Yiyi Tang & Hailong Zhou & Qiming Zhang & Min Gu & Jianji Dong & Xinliang Zhang, 2024. "Multimodal deep learning using on-chip diffractive optics with in situ training capability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:616:y:2023:i:7956:d:10.1038_s41586-023-05881-4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.