TARGET-AI: a foundational approach for the targeted deployment of artificial intelligence electrocardiography in the electronic health record.
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| Title: | TARGET-AI: a foundational approach for the targeted deployment of artificial intelligence electrocardiography in the electronic health record. |
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| Authors: | Oikonomou EK; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA., Batinica B; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA., Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA., Coppi A; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. |
| Source: | MedRxiv : the preprint server for health sciences [medRxiv] 2025 Oct 25. Date of Electronic Publication: 2025 Oct 25. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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