Artificial Intelligence-Enabled Electrocardiography Identifies Osteoporosis and has Prognostic Value.
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| Title: | Artificial Intelligence-Enabled Electrocardiography Identifies Osteoporosis and has Prognostic Value. |
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| Authors: | Hsing SC; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan., Tsai DJ; Medical Technology Education Center, School of Medicine, National Defense Medical University, Taipei, R.O.C, Taiwan.; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan., Lin C; Medical Technology Education Center, School of Medicine, National Defense Medical University, Taipei, R.O.C, Taiwan.; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.; School of Public Health, National Defense Medical University, Taipei, R.O.C, Taiwan., Lin CS; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan., Lee CC; Tri-Service General Hospital, Medical Informatics Office, National Defense Medical University, Taipei, R.O.C, Taiwan.; Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan., Wang CH; Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.; Graduate Institute of Medical Sciences, National Defense Medical University, Taipei, R.O.C, Taiwan., Fang WH; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan. rumaf.fang@gmail.com.; Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical University, R.O.C. No 161, Min-Chun E. Rd., Sec. 6, Taipei, Neihu, 11490, Taipei, Taiwan. rumaf.fang@gmail.com. |
| Source: | Journal of medical systems [J Med Syst] 2025 Dec 26; Vol. 49 (1), pp. 191. Date of Electronic Publication: 2025 Dec 26. |
| Publication Type: | Journal Article; Multicenter Study; Validation Study |
| Journal Info: | Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41452504 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence-Enabled Electrocardiography Identifies Osteoporosis and has Prognostic Value. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hsing+SC%22">Hsing SC</searchLink>; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.<br /><searchLink fieldCode="AU" term="%22Tsai+DJ%22">Tsai DJ</searchLink>; Medical Technology Education Center, School of Medicine, National Defense Medical University, Taipei, R.O.C, Taiwan.; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+C%22">Lin C</searchLink>; Medical Technology Education Center, School of Medicine, National Defense Medical University, Taipei, R.O.C, Taiwan.; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.; School of Public Health, National Defense Medical University, Taipei, R.O.C, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CS%22">Lin CS</searchLink>; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+CC%22">Lee CC</searchLink>; Tri-Service General Hospital, Medical Informatics Office, National Defense Medical University, Taipei, R.O.C, Taiwan.; Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wang+CH%22">Wang CH</searchLink>; Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan.; Graduate Institute of Medical Sciences, National Defense Medical University, Taipei, R.O.C, Taiwan.<br /><searchLink fieldCode="AU" term="%22Fang+WH%22">Fang WH</searchLink>; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical University, Taipei, R.O.C, Taiwan. rumaf.fang@gmail.com.; Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical University, R.O.C. No 161, Min-Chun E. Rd., Sec. 6, Taipei, Neihu, 11490, Taipei, Taiwan. rumaf.fang@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227806056%22">Journal of medical systems</searchLink> [J Med Syst] 2025 Dec 26; Vol. 49 (1), pp. 191. <i>Date of Electronic Publication: </i>2025 Dec 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Kluwer+Academic%2FPlenum+Publishers%22">Kluwer Academic/Plenum Publishers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7806056 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-689X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201485598%22">01485598 </searchLink><i>NLM ISO Abbreviation: </i>J Med Syst <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41452504 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10916-025-02333-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 191 Titles: – TitleFull: Artificial Intelligence-Enabled Electrocardiography Identifies Osteoporosis and has Prognostic Value. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hsing SC – PersonEntity: Name: NameFull: Tsai DJ – PersonEntity: Name: NameFull: Lin C – PersonEntity: Name: NameFull: Lin CS – PersonEntity: Name: NameFull: Lee CC – PersonEntity: Name: NameFull: Wang CH – PersonEntity: Name: NameFull: Fang WH IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 12 Text: 2025 Dec 26 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1573-689X Numbering: – Type: volume Value: 49 – Type: issue Value: 1 Titles: – TitleFull: Journal of medical systems Type: main |
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