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Matthieu Komorowski

Imperial College Healthcare NHS Trust · GB
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Area of research
Epidemiology · Physiology
Research interest
Research interests include Medicine, Computer science, Artificial intelligence, Coronavirus disease 2019 (COVID-19), Space exploration, and Space (punctuation).
h-index
citations
3,273
works
14
NIH funding
primary concept
email

Recent publications

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22
Critical Care 2025cited by 46position: middledoi
Infections in long-duration space missions
The Lancet Microbe 2024cited by 14position: lastdoi
Multi-site, Multi-domain Airway Tree Modeling
Medical Image Analysis 2023cited by 62position: middledoi
Biomonitoring and precision health in deep space supported by artificial intelligence
Nature Machine Intelligence 2023cited by 55position: middledoi
Biological research and self-driving labs in deep space supported by artificial intelligence
Nature Machine Intelligence 2023cited by 48position: middledoi
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
BMJ 2020cited by 1,029position: middledoi
Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review
Travel Medicine and Infectious Disease 2020cited by 151position: middledoi
Reprint of: Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review
Travel Medicine and Infectious Disease 2020cited by 60position: middledoi
Cardiopulmonary resuscitation (CPR) during spaceflight - a guideline for CPR in microgravity from the German Society of Aerospace Medicine (DGLRM) and the European Society of Aerospace Medicine Space Medicine Group (ESAM-SMG)
Scandinavian Journal of Trauma Resuscitation and Emergency Medicine 2020cited by 40position: middledoi
Using applied lung physiology to understand COVID-19 patterns
British Journal of Anaesthesia 2020cited by 25position: firstdoi
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
Nature Medicine 2018cited by 1,194position: firstdoi
Guidelines for reinforcement learning in healthcare
Nature Medicine 2018cited by 362position: middledoi
Severity of Illness Scores May Misclassify Critically Ill Obese Patients*
Critical Care Medicine 2017cited by 22position: middledoi
Exploratory Data Analysis
2016cited by 165position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Leo Anthony Celi · Harvard University4 papers (2017–2025) · 2 papers (2020–2020)Dipti Patel · University of Nottingham2 papers (2020–2020)Michel Bielecki · Illumina (United States)2 papers (2020–2020) · 2 papers (2020–2020)Alfonso J. Rodríguez‐Morales · Broad Center2 papers (2020–2020)Jochen Hinkelbein · Johannes Wesling Klinikum Minden2 papers (2020–2020)Ziad A. Memish · King Abdullah International Medical Research Center2 papers (2020–2020)Patricia Schlagenhauf · World Health Organization - Pakistan2 papers (2020–2020)Anthony Gordon · Imperial College Healthcare NHS Trust2 papers (2018–2020)A. Aldo Faisal · Imperial College Healthcare NHS Trust2 papers (2018–2018)Justin D. Salciccioli · Imperial College Healthcare NHS Trust1 papers (2016–2016)Vincent X. Liu · Center for Advanced Studies Research and Development in Sardinia1 papers (2025–2025) · 1 papers (2025–2025)Massimiliano Greco · Humanitas University1 papers (2025–2025)Eric J. Topol · La Jolla1 papers (2020–2020)Fernando G. Zampieri · D’Or Institute for Research and Education1 papers (2025–2025)Yang Chen · Nanjing Tech University1 papers (2020–2020)Soojin Park · Ulsan College1 papers (2025–2025)Christopher W. Seymour · University of Pittsburgh1 papers (2025–2025)
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