Artificial Intelligence Deep Learning Methods in the Assessment of Cardiovascular Risk for Patients With Autoimmune Diseases: A Promising Prospect.
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| Title: | Artificial Intelligence Deep Learning Methods in the Assessment of Cardiovascular Risk for Patients With Autoimmune Diseases: A Promising Prospect. |
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| Authors: | Strube T; Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide SA, Australia; Royal Adelaide Hospital, Adelaide SA, Australia. Electronic address: taylor.strube@sa.gov.au., Leslie A; Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide SA, Australia; Royal Adelaide Hospital, Adelaide SA, Australia., Stretton B; Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide SA, Australia; Royal Adelaide Hospital, Adelaide SA, Australia., Bacchi S; Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide SA, Australia; Lyell McEwin Hospital, Elizabeth Vale SA, Australia; Flinders University, Bedford Park SA, Australia. |
| Source: | Heart, lung & circulation [Heart Lung Circ] 2026 May; Vol. 35 (5), pp. e78-e79. |
| Publication Type: | Letter |
| Journal Info: | Publisher: Elsevier Australia Country of Publication: Australia NLM ID: 100963739 Publication Model: Print Cited Medium: Internet ISSN: 1444-2892 (Electronic) Linking ISSN: 14439506 NLM ISO Abbreviation: Heart Lung Circ Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| ISSN: | 1444-2892 |
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| DOI: | 10.1016/j.hlc.2025.11.011 |
