Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence.

Saved in:
Bibliographic Details
Title: Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligence.
Authors: Bergamaschi T; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA., Yau T; Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA., Chandak P; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA, 02139, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA., Kyereme-Tuah A; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA., Hung J; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Harvard Medical School, Boston, MA, 02115, USA., Gaggin H; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Harvard Medical School, Boston, MA, 02115, USA., Kohane IS; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA, 02139, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.; Harvard Medical School, Boston, MA, 02115, USA., Stultz CM; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA, 02139, USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.; Harvard Medical School, Boston, MA, 02115, USA.
Source: EClinicalMedicine [EClinicalMedicine] 2026 Feb 09; Vol. 92, pp. 103783. Date of Electronic Publication: 2026 Feb 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: The Lancet Country of Publication: England NLM ID: 101733727 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-5370 (Electronic) Linking ISSN: 25895370 NLM ISO Abbreviation: EClinicalMedicine Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2589-5370
DOI:10.1016/j.eclinm.2026.103783