Artificial intelligence and machine learning for hemorrhagic trauma care.
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| Title: | Artificial intelligence and machine learning for hemorrhagic trauma care. |
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| Authors: | Peng HT; Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, M3K 2C9, Canada. henry.peng@drdc-rddc.gc.ca., Siddiqui MM; Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, M3K 2C9, Canada., Rhind SG; Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, M3K 2C9, Canada., Zhang J; Defence Research and Development Canada, Toronto Research Centre, Toronto, ON, M3K 2C9, Canada., da Luz LT; Sunnybrook Health Sciences Centre, Toronto, ON, M4N 3M5, Canada., Beckett A; St. Michael's Hospital, Toronto, ON, M5B 1W8, Canada.; Royal Canadian Medical Services, Ottawa, K1A 0K2, Canada. |
| Source: | Military Medical Research [Mil Med Res] 2023 Feb 16; Vol. 10 (1), pp. 6. Date of Electronic Publication: 2023 Feb 16. |
| Publication Type: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101643181 Publication Model: Electronic Cited Medium: Internet ISSN: 2054-9369 (Electronic) Linking ISSN: 20549369 NLM ISO Abbreviation: Mil Med Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2054-9369 |
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| DOI: | 10.1186/s40779-023-00444-0 |
