Predictive Analytics in Cardiothoracic Care: Enhancing Outcomes with the Healthcare Enabled by Artificial Intelligence in Real Time (HEART) Project
The project will advance by developing a user-friendly, real-time interface, incorporating feedback from clinicians in the operating room and cardiothoracic intensive care unit to ensure practicality and acceptance of the technology. This interface will provide adverse outcome predictions in real time, support clinical decision-making, and become a regular part of patient care.
Authors
- Douglas B. Sawyer (ORCID: https://orcid.org/0000-0002-5998-4230)
- Qingchu Jin (ORCID: https://orcid.org/0000-0002-2293-1805)
- Melanie Tory (ORCID: https://orcid.org/0000-0002-6806-9253)
- Mahsan Nourani (ORCID: https://orcid.org/0000-0002-8823-9635)
- Jaime B Rabb
- Anne Hicks (ORCID: https://orcid.org/0000-0001-6553-3826)
- Raimond L. Winslow (ORCID: https://orcid.org/0000-0003-1719-1651)
- Felistas Mazhude
- Robert S. Kramer
Institutions
- MaineHealth (US)
- Maine Medical Center (US)
- University of Southern Maine (US)
Publication Details
- Journal
- Journal of Maine Medical Center
- Published
- 2024-09-30
- DOI
- https://doi.org/10.46804/2641-2225.1195
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of General Medical Sciences