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

Yuh Chin Huang; Paresh Giri; Octavian Ioachimescu; An Kwok Ian Wong

doi:10.3389/fphys.2024.1375414

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

Yuh Chin Huang, Paresh Giri, Octavian Ioachimescu, An Kwok Ian Wong

Medicine

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Article number	1375414
Journal	Frontiers in Physiology
Volume	15
DOIs	https://doi.org/10.3389/fphys.2024.1375414
State	Published - 2024

ASJC Scopus Subject Areas

Physiology
Physiology (medical)

Keywords

ARDS
DVT
lung volumes
machine learning
sepsis
ventilator-associated complication

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10.3389/fphys.2024.1375414

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title = "Editorial: AI and data science in pulmonary and critical care physiology and medicine",

keywords = "ARDS, DVT, lung volumes, machine learning, sepsis, ventilator-associated complication",

author = "Huang, {Yuh Chin} and Paresh Giri and Octavian Ioachimescu and Wong, {An Kwok Ian}",

year = "2024",

doi = "10.3389/fphys.2024.1375414",

language = "English",

volume = "15",

journal = "Frontiers in Physiology",

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T2 - AI and data science in pulmonary and critical care physiology and medicine

AU - Huang, Yuh Chin

AU - Giri, Paresh

AU - Ioachimescu, Octavian

AU - Wong, An Kwok Ian

PY - 2024

Y1 - 2024

KW - ARDS

KW - DVT

KW - lung volumes

KW - machine learning

KW - sepsis

KW - ventilator-associated complication

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DO - 10.3389/fphys.2024.1375414

M3 - Editorial

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SN - 1664-042X

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JO - Frontiers in Physiology

JF - Frontiers in Physiology

M1 - 1375414

ER -

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

ASJC Scopus Subject Areas

Keywords

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