Leveraging artificial intelligence for clinical decision support in personalized standard regimen recommendation for cancer.
Saved in:
| Title: | Leveraging artificial intelligence for clinical decision support in personalized standard regimen recommendation for cancer. |
|---|---|
| Authors: | Jiang YL; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Zhao G; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China., Wang SH; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. wangshuhang@cicams.ac.cn., Li N; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lining@cicams.ac.cn. |
| Source: | Military Medical Research [Mil Med Res] 2025 Jun 19; Vol. 12 (1), pp. 31. Date of Electronic Publication: 2025 Jun 19. |
| Publication Type: | Letter |
| 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; In Process |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40537878 AccessLevel: 2 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Leveraging artificial intelligence for clinical decision support in personalized standard regimen recommendation for cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jiang+YL%22">Jiang YL</searchLink>; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Zhao+G%22">Zhao G</searchLink>; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.<br /><searchLink fieldCode="AU" term="%22Wang+SH%22">Wang SH</searchLink>; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. wangshuhang@cicams.ac.cn.<br /><searchLink fieldCode="AU" term="%22Li+N%22">Li N</searchLink>; Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. lining@cicams.ac.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101643181%22">Military Medical Research</searchLink> [Mil Med Res] 2025 Jun 19; Vol. 12 (1), pp. 31. <i>Date of Electronic Publication: </i>2025 Jun 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Letter – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101643181 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2054-9369 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220549369%22">20549369 </searchLink><i>NLM ISO Abbreviation: </i>Mil Med Res <i>Subsets: </i>MEDLINE; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40537878 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s40779-025-00617-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 31 Titles: – TitleFull: Leveraging artificial intelligence for clinical decision support in personalized standard regimen recommendation for cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiang YL – PersonEntity: Name: NameFull: Zhao G – PersonEntity: Name: NameFull: Wang SH – PersonEntity: Name: NameFull: Li N IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 06 Text: 2025 Jun 19 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2054-9369 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Military Medical Research Type: main |
| ResultId | 1 |