| The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care M Komorowski, LA Celi, O Badawi, AC Gordon, AA Faisal Nature medicine 24 (11), 1716-1720, 2018 | 1203 | 2018 |
| Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies M Nagendran, Y Chen, CA Lovejoy, AC Gordon, M Komorowski, ... bmj 368, 2020 | 876 | 2020 |
| Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature medicine 25 (1), 16-18, 2019 | 497 | 2019 |
| Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... bmj 377, 2022 | 427 | 2022 |
| Secondary Analysis of Electronic Health Records MITC Data Springer International Publishing, 2016 | 291* | 2016 |
| Exploratory data analysis MITC Data, M Komorowski, DC Marshall, JD Salciccioli, Y Crutain Secondary analysis of electronic health records, 185-203, 2016 | 274 | 2016 |
| Continuous state-space models for optimal sepsis treatment: a deep reinforcement learning approach A Raghu, M Komorowski, LA Celi, P Szolovits, M Ghassemi Machine Learning for Healthcare Conference, 147-163, 2017 | 260 | 2017 |
| Reprint of: Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review M Bielecki, D Patel, J Hinkelbein, M Komorowski, J Kester, S Ebrahim, ... Travel medicine and infectious disease 38, 101939, 2020 | 246 | 2020 |
| Deep reinforcement learning for sepsis treatment A Raghu, M Komorowski, I Ahmed, L Celi, P Szolovits, M Ghassemi arXiv preprint arXiv:1711.09602, 2017 | 245 | 2017 |
| Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 149 | 2018 |
| Improving sepsis treatment strategies by combining deep and kernel-based reinforcement learning X Peng, Y Ding, D Wihl, O Gottesman, M Komorowski, LH Lehman, ... AMIA Annual Symposium Proceedings 2018, 887, 2018 | 117 | 2018 |
| Interdisciplinary research in artificial intelligence: challenges and opportunities R Kusters, D Misevic, H Berry, A Cully, Y Le Cunff, L Dandoy, ... Frontiers in big data 3, 577974, 2020 | 102 | 2020 |
| Markov models and cost effectiveness analysis: applications in medical research MITC Data, M Komorowski, J Raffa Secondary analysis of electronic health records, 351-367, 2016 | 96 | 2016 |
| Sensitivity analysis and model validation MITC Data, JD Salciccioli, Y Crutain, M Komorowski, DC Marshall Secondary analysis of electronic health records, 263-271, 2016 | 91 | 2016 |
| Representation balancing mdps for off-policy policy evaluation Y Liu, O Gottesman, A Raghu, M Komorowski, AA Faisal, F Doshi-Velez, ... Advances in neural information processing systems 31, 2018 | 85 | 2018 |
| Sepsis biomarkers and diagnostic tools with a focus on machine learning M Komorowski, A Green, KC Tatham, C Seymour, D Antcliffe EBioMedicine 86, 2022 | 78 | 2022 |
| Secondary analysis of electronic health records M Komorowski, DC Marshall, JD Salciccioli, Y Crutain Second. Anal. Electron. Heal. Rec., no. September, 1-427, 2016 | 68 | 2016 |
| Model-based reinforcement learning for sepsis treatment A Raghu, M Komorowski, S Singh arXiv preprint arXiv:1811.09602, 2018 | 64 | 2018 |
| Artificial intelligence in intensive care: are we there yet? M Komorowski Intensive care medicine 45 (9), 1298-1300, 2019 | 63 | 2019 |
| Natural history, trajectory, and management of mechanically ventilated COVID-19 patients in the United Kingdom BV Patel, S Haar, R Handslip, C Auepanwiriyakul, TML Lee, S Patel, ... Intensive care medicine 47 (5), 549-565, 2021 | 59 | 2021 |
A. Aldo FaisalProfessor in AI & Neuroscience, Imperial College; Chair in Digital Health, Universität BayreuthVerifierad e-postadress på imperial.ac.uk
Anthony GordonProfessor, Imperial College LondonVerifierad e-postadress på imperial.ac.uk
Leo Anthony CeliMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Myura NagendranUKRI Clinical PhD Fellow, Centre for AI in Healthcare, Imperial College LondonVerifierad e-postadress på imperial.ac.uk
Dominic C MarshallImperial College LondonVerifierad e-postadress på imperial.ac.uk
Justin D SalciccioliBrigham and Women's Hospital - Harvard Medical SchoolVerifierad e-postadress på bwh.harvard.edu
Omer GottesmanAmazonVerifierad e-postadress på amazon.com
Finale Doshi-VelezProfessor, HarvardVerifierad e-postadress på seas.harvard.eduPaul FestorPhD student, Imperial College LondonVerifierad e-postadress på imperial.ac.uk
Prof. Dr. med. Christopher Neuhaus, M...Universitätsklinikum HeidelbergVerifierad e-postadress på med.uni-heidelberg.de
Gary S. CollinsProfessor of Medical Statistics, Centre for Statistics in Medicine, University of OxfordVerifierad e-postadress på csm.ox.ac.uk
Omar Badawi, PharmD, MPH, FCCMUS Army Telemedicine and Advanced Technology Research CenterVerifierad e-postadress på health.mil
Ibrahim HabliProfessor of Safety-Critical Systems at the University of YorkVerifierad e-postadress på york.ac.uk
Fredrik D. JohanssonAssociate Professor, Chalmers University of TechnologyVerifierad e-postadress på chalmers.se
David SontagProfessor, Massachusetts Institute of TechnologyVerifierad e-postadress på csail.mit.edu
Li-wei H. LehmanMassachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITVerifierad e-postadress på mit.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITVerifierad e-postadress på mit.edu
Eric TopolProfessor and EVP, Scripps ResearchVerifierad e-postadress på scripps.edu
