Editorial: AI and data science in pulmonary and critical care physiology and medicine.

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Bibliographic Details
Title: Editorial: AI and data science in pulmonary and critical care physiology and medicine.
Authors: Huang YC; Department of Medicine, Duke University Medical Center, Duke University, Durham, NC, United States., Giri P; Department of Medicine, Loma Linda University, Loma Linda, CA, United States., Ioachimescu O; Department of Medicine, Emory University, Atlanta, GA, United States., Wong AI; Department of Medicine, Duke University Medical Center, Duke University, Durham, NC, United States.
Source: Frontiers in physiology [Front Physiol] 2024 Mar 05; Vol. 15, pp. 1375414. Date of Electronic Publication: 2024 Mar 05 (Print Publication: 2024).
Publication Type: Editorial
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-042X
DOI:10.3389/fphys.2024.1375414