ICLUS - Italian Covid-19 Lung Ultrasound project

Example of ultrasound images with evaluation from 0 to 3 (from left to right).

Project is supported by

 

The ICLUS group

ICLUS is a project from the University of Trento's Department of Information Engineering and Computer Science (DISI - https://www.disi.unitn.it/) and it is coordinated by Libertario Demi. Research groups of DISI Department, other universities, and companies participate in the project.

The DISI research groups are:  

• Ultrasound that is in charge of adjusting the data acquisition protocol, the definition of the scoring system and the sanitary personnel training. 
• Signal Processing and Recognition that is in charge of the problems related to the definition and extraction of mono and multidimensional patterns from the ultrasound data. Furthermore it participates in the definition and development of the real-time automatic scoring algorithms based on advanced pattern recognition methodologies.
• Structured Machine Learning that is responsible for the prediction system's calibration and the maximization of the informative quality of the database annotations (through interactive machine learning techniques, explainability and skeptical learning).
• Deep Visual Learning that is in charge of developing deep learning models and, in particular, the use of convolutional networks for identifying pathological patterns in semi-supervised approach. The group develops also algorithms for automatically scoring the video streams.
• Multisensory Interactions that takes care of the design, implementation and evaluation of the graphical interface of the ICLUS system. The group is also in charge of the automatic generation of medical reports from the data results emerging from the machine learning algorithms.
• Remote Sensing that is in charge of the development of unsupervised automatic techniques for pleural interface detection and for its characterization with metrics that are able to measure its pathological alterations. It also contributes to the automatic scoring with "shallow" machine learning methods and sparse classifiers.
• Software Engineering that is in charge of the creation and management of the database, the development of the front-end and back-end of the database along with the aspects related to privacy and the management of sensitive data. 

BlueTensor is collaborating in the development of ICLUS-WEB platform and the implementation of Artificial Intelligence algorithms for video scoring.

Partner

Italy

• 118 Castelnuovo, Garfagnana (LU)
• APSS Trento, Trento (TN)
• Ausl Romagna - Cesena, Cesena (NULL)
• Azienda Ospedaliera Universita di Padova, Padova (PD)
• Azienda Ospedaliera Universitaria Federico II, Napoli (NA)
• Azienda Ospedaliero Universitaria Policlinico Vittorio Emanuele, Catania (CT)
• Bresciamed, Brescia (BS)
• Cardiologia - Ospedale Policlinico San Martino, Genova (GE)
• Emergency Department of Arzignano Hospital - AULSS8 Berica, Vicenza (VI)
• Fondazione Policlinico San Matteo IRCCS, Pavia (PV)
• Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma (RM)
• Mater Olbia Hospital, Olbia (SS)
• Ospedale Civile di Voghera, Voghera (PV)
• Ospedale dei Bambini Vittore Buzzi, Milano (MI)
• Ospedale di Sanremo Asl1 Imperiese, Sanremo (IM)
• Ospedale di Tione, Tione (TN)
• Ospedale Generale Regionale F. Miulli, Acquaviva delle Fonti (BA)
• Ospedale Luigi Sacco, Milano (MI)
• Ospedale Pediatrico Bambino Gesù, Roma (RM)
• Ospedale San Bortolo, Vicenza (VI)
• Ospedale San Gerardo, Monza (MB)
• Ospedale Sanremo, Sanremo (IM)
• Ospedale Santa Maria del Carmine, Rovereto (TN)
• Ospedale Valduce, Como (CO)
• Presidio Ospedaliero del Levante Ligure, Sarzana (SP)
• Valle del Serchio General Hospital, Lucca (LU)

Other countries

• Augusta University - Department of Emergency Medicine, Augusta, United States of America
• Clinic of thoracic and vascular surgery, Gera, Germany
• Contra Costa Regional Medical Center, Martinez, California, USA
• DeepMed I/O, Mancester, United Kingdom
• Department of Obstetrics and Gynecology - University Hospitals Leuven, Leuven, Belgium
• DSP Medea, Medea, Algeria
• Eindhoven University of Technology, Eindhoven, The Netherlands
• Hospital das Clínicas da Universidade de São Paulo, San Paolo, Brasile
• Hospital General de Catalunya, Barcellona, Spain
• IFC - CNR LECCE, Lecce, ITALIA
• Indian Institute of Technology, Kharagpur, India
• Indian Institute of Technology, Jodhpur, India
• Indian Institute of Technology Patna, Patna, India
• Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
• Intelligent Ultrasound, Cardiff, United Kingdom
• Klinikum rechts der Isar der TU, München, Germany
• Leitat Technological Center, Barcellona, Spain
• Massachusetts General Hospital, Boston, USA
• Michigan State University, Lansing, USA
• North Carolina State University, Raleigh, United States of America
• OPTEL, Wrocław, Poland
• Santa Chiara, Trento, Italia
• Servico de Ultrassonografia HIAE - Sao Paulo, Sao Paulo, Brasil
• Shaare Zedek Medical Center, Jerusalem, Israel
• Spanish National Research Council, Madrid, Spain
• Universidad Nacional Autonoma de Mexico, Città del Messico, Messico
• Université de Paris - PARCC - INSERM, Paris, France
• University Hospital Antwerp - UZA, Edegem, Belgium
• University of California, Los Angeles, United States of America
• University of California - Berkeley Lab, Berkeley, United States of America
• University of Health Sciences Istanbul Kanuni Sultan Suleyman Hospital, Istanbul, Turkey
• University of South Carolina – School of Medicine, Columbia, USA
• University of South Carolina School of Medicine Greenville - Prisma Health Upstate - American Institute of Ultrasound in Medicine, Greenville, United States of America
• Weizmann Institute of Science, Rehovot, Israel

ICLUS Data Base

ICLUS-DB is available https://iclus-web.bluetensor.ai/login/. Authentication required.

Tutorial videos

Videos are in Italian.

Ecografia polmonare: introduzione (video - 22:22) [Lung ultrasound: An introduction]

Ecografia polmonare: come fare l’ecografia (video - 7:20) [Lung ultrasound: How to do]

Concetti di semeiotica (video - 8:46) [Semeiotics concepts]

Publications

1. F. Moro, D. Buonsenso, M.C. Moruzzi, R. Inchingolo, A. Smargiassi, L. Demi, A.R. Larici, G. Scambia, A. Lanzone, A.C. Testa, How to perform lung ultrasound in pregnant women with suspected COVID‐19 infection, Ultrasound In Obstetrics and Gynecology, 2020. 
   URL: https://obgyn.onlinelibrary.wiley.com/doi/abs/10.1002/uog.22028
2. G. Soldati, A. Smargiassi, R. Inchingolo, D. Buonsenso, T. Perrone, D. F. Briganti, S. Perlini , E. Torri, A. Mariani, E. E. Mossolani, F. Tursi, F. Mento, L. Demi, Is there a role for lung ultrasound during the COVID-19 pandemic?, Journal of Ultrasound in Medicine, 2020.
   URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/jum.15284
3. Study Record Detail: Simple, Safe, Same: Lung Ultrasound for COVID-19 (LUSCOVID19) - US National Library of Medicine
   URL: https://clinicaltrials.gov/ct2/show/NCT04322487?term=ultrasound+covid&draw=2&rank=1
4. G. Soldati, A. Smargiassi, R. Inchingolo, D. Buonsenso, T. Perrone, D. F. Briganti, S. Perlini, E. Torri, A. Mariani, E. E. Mossolani, F. Tursi, F. Mento, L. Demi, Proposal for international standardization of the use of lung ultrasound for COVID‐19 patients; a simple, quantitative, reproducible method, Journal of Ultrasound in Medicine, March 2020
   URL: https://doi.org/10.1002/jum.15285
5. R. Inchingolo, A. Smargiassi, F. Moro, D. Buonsenso, S. Salvi, P. Del Giacomo, G. Scoppettuolo, L. Demi, G. Soldati, A. C. Testa, The Diagnosis of Pneumonia in a Pregnant Woman with COVID-19 Using Maternal Lung Ultrasound, American Journal of Obstetrics & Gynecology, April 2020
   URL: https://www.ajog.org/article/S0002-9378(20)30468-3/fulltext 
6. D. Buonsenso  F. Moro  R. Inchingolo  A. Smargiassi  L. Demi  G. Soldati  R. Moroni  A. Lanzone  G. Scambia  A. C. Testa, Effectiveness of a ‘fast lung ultrasound teaching program’ for gynecologists/obstetricians dealing with pregnant women with suspicion of COVID‐19 infection, Ultrasound in Obstetrics and Gynecology, April 2020
   URL: https://obgyn.onlinelibrary.wiley.com/doi/10.1002/uog.22066
7. G. Soldati, G. Giannasi, A. Smargiassi, R. Inchingolo, L. Demi, Contrast‐Enhanced Ultrasound in Patients With COVID‐19: Pneumonia, Acute Respiratory Distress Syndrome, or Something Else?, Journal of Ultrasound in Medicine, May 2020.
   URL: https://onlinelibrary.wiley.com/doi/full/10.1002/jum.15338
8. G. Soldati, A. Smargiassi, R. Inchingolo, D. Buonsenso, T. Perrone, D. F. Briganti, S. Perlini , E. Torri, A. Mariani, E. E. Mossolani, F. Tursi, F. Mento, L. Demi, On Lung Ultrasound Patterns Specificity in the Management of COVID‐19 Patients, Journal of Ultrasound in Medicine, May 2020.
   URL: https://onlinelibrary.wiley.com/doi/full/10.1002/jum.15326
9. I.M. Rosado‐Mendez, A. Smargiassi, R. Inchingolo, G. Soldati, M. Muller, L. Demi, Lung Ultrasound for Treatment of Patients With COVID ‐19: Please Report Your Settings and Mechanical Index, Journal of Ultrasound in Medicine, 2020.
10. A.Smargiassi, G. Soldati, A. Borghetti, G. Scoppettuolo, E. Tamburrini, A.C. Testa, F. Moro, L. Natale, A.R. Larici, D. Buonsenso, P. Valentini, G. Draisci, B.A. Zanfini, M. Pompili, G. Scambia, A. Lanzone, F. Franceschi, G.L. Rapaccini, A. Gasbarrini, P. Giorgini, L. Richeldi, L. Demi, R. Inchingolo, Lung ultrasonography for early management of patients with respiratory symptoms during COVID-19 pandemic, Journal of Ultrasound, 2020.
11. L. Carrer, E. Donini, D. Marinelli, M. Zanetti, F. Mento, E. Torri, A. Smargiassi, R. Inchingolo, G. Soldati, L. Demi, F. Bovolo, L. Bruzzone, Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2020.
    URL: https://ieeexplore.ieee.org/document/9127515
12. G. Soldati, A. Smargiassi, R. Inchingolo, E. Torri, L. Demi, Reply, Journal of Ultrasound in Medicine, 2020.
13. R. Inchingolo, A. Smargiassi, G. Soldati, L. Demi, Lung ultrasound as an extension of medical examination for COVID-19 pneumonia: much more than an imaging technique, American Journal of Obstetrics and Gynecology, 2020.
14. S. Roy, W. Menapace, S. Oei, B. Luijten, E. Fini, C. Saltori, I. Huijben, N. Chennakeshava, F. Mento, A. Sentelli, E. Peschiera, R. Trevisan, G. Maschietto, E. Torri, R. Inchingolo, A. Smargiassi, G. Soldati, P. Rota, A. Passerini, R.J.G. van Sloun, E. Ricci, L. Demi, Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound, IEEE Transactions on Medical Imaging, 2020.
    URL: https://ieeexplore.ieee.org/document/9093068
15. G. Soldati, G. Giannasi, A. Smargiassi, R. Inchingolo, L. Demi, Contrast‐Enhanced Ultrasound in Patients With COVID‐19: Pneumonia, Acute Respiratory Distress Syndrome, or Something Else?, Journal of Ultrasound in Medicine, 2020.
    URL: https://onlinelibrary.wiley.com/doi/full/10.1002/jum.15338
16. G. Soldati, A. Smargiassi, R. Inchingolo, D. Buonsenso, T. Perrone, D. F. Briganti, S. Perlini , E. Torri, A. Mariani, E. E. Mossolani, F. Tursi, F. Mento, L. Demi, On Lung Ultrasound Patterns Specificity in the Management of COVID‐19 Patients, Journal of Ultrasound in Medicine, 2020.
17. R. Inchingolo, A. Smargiassi, F. Moro, D. Buonsenso, S. Salvi, P. Del Giacomo, G. Scoppettuolo, L. Demi, G. Soldati, A.Testa, The Diagnosis of Pneumonia in a Pregnant Woman with COVID-19 Using Maternal Lung Ultrasound, American Journal of Obstetrics and Gynecology, 2020.
18. D. Buonsenso, F. Moro, R. Inchingolo, A. Smargiassi, L. Demi, G. Soldati, R. Moroni, A. Lanzoni, G. Scambia, Effectiveness of rapid lung ultrasound teaching program for gynecologists and obstetricians dealing with pregnant women with suspect COVID‐19, Ultrasound In Obstetrics and Gynecology, 2020.
19. A. Smargiassi, G. Soldati, E. Torri, F. Mento, D. Milardi, P. Del Giacomo, G. De Matteis, M.L. Burzo, A.R. Larici, M. Pompili, L. Demi, R. Inchingolo, Lung Ultrasound for COVID‐19 Patchy Pneumonia: Extended or Limited Evaluations?, Journal of Ultrasound in Medicine, 2020.
    URL: https://onlinelibrary.wiley.com/doi/10.1002/jum.15428
20. G. Soldati, A. Smargiassi, R. Inchingolo, L. Demi, Reply to colorimetric triage for patients with COVID-19, Journal of Ultrasound in Medicine, 2020.
21. G. Soldati, A. Smargiassi, R. Inchingolo, D. Buonsenso, T. Perrone, D. F. Briganti, S. Perlini , E. Torri, A. Mariani, E. E. Mossolani, F. Tursi, F. Mento, L. Demi, Time for a new international evidence‐based recommendations for point‐of‐care lung ultrasound, Journal of Ultrasound in Medicine, 2020.
22. G. Soldati, A. Smargiassi, R. Inchingolo, E. Torri, L. Demi, Reply to LUS in pregnant women with suspected COVID‐19 infection, Journal of Ultrasound in Medicine, 2020.
23. I.M. Rosado‐Mendez, A. Smargiassi, R. Inchingolo, G. Soldati, M. Muller, L. Demi, Lung Ultrasound for Treatment of Patients With COVID ‐19: Please Report Your Settings and Mechanical Index, Journal of Ultrasound in Medicine, 2020.
24. A. Smargiassi, G. Soldati, A. Borghetti, G. Scoppettuolo, E. Tamburrini, A.C. Testa, F. Moro, L. Natale, A.R. Larici, D. Buonsenso, P. Valentini, G. Draisci, B.A. Zanfini, M. Pompili, G. Scambia, A. Lanzone, F. Franceschi, G.L. Rapaccini, A. Gasbarrini, P. Giorgini, L. Richeldi, L. Demi, R. Inchingolo, Lung ultrasonography for early management of patients with respiratory symptoms during COVID-19 pandemic, Journal of Ultrasound, 2020.
25. L. Carrer, E. Donini, D. Marinelli, M. Zanetti, F. Mento, E. Torri, A. Smargiassi, R. Inchingolo, G. Soldati, L. Demi, F. Bovolo, L. Bruzzone, Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2020.
    URL: https://ieeexplore.ieee.org/document/9127515
26. G. Soldati, A. Smargiassi, R. Inchingolo, E. Torri, L. Demi, Reply, Journal of Ultrasound in Medicine, 2020.
27. D. Buonsenso, R. Inchingolo, A. Smargiassi, L. Demi, G. Scambia, A.C. Testa, F. Moro, Reply, Ultrasound In Obstetrics and Gynecology, v. 56, n. 3 (2020), p. 468-469.
28. D. Buonsenso, R. Inchingolo, A. Smargiassi, L. Demi, G. Scambia, A.C. Testa, F. Moro, Reply, Ultrasound In Obstetrics and Gynecology, v. 56, n. 3 (2020), p. 470-471.
29. R. Inchingolo, A. Smargiassi, G. Soldati, L. Demi, Lung ultrasound as an extension of medical examination for COVID-19 pneumonia: much more than an imaging technique, American Journal of Obstetrics and Gynecology, 2020.

Press review 

First Protocol on How to Use Lung Ultrasound to Triage COVID-19 - MedScape

Coronavirus, e se bastasse un'ecografia per la diagnosi? - La Repubblica

Is There a Role for Lung Ultrasound in Diagnosing COVID-19? Original story from the University of Trento - TechnologyNetworks

Under Pressure, One Italian Doctor Triages by Ultrasound - MedScape

Italian doctor Triages by ultrasound - NewsDio

Coronavirus, nuovo protocollo per diagnosi con ultrasuoni - AdnKronos

Coronavirus: Università Trento studia diagnosi a ultrasuoni. Ricerca pubblicata su Journal of Ultrasound in Medicine - Ansa Trentino Alto Adige

Covid-19, l’Università di Trento capofila nella diagnosi a ultrasuoni - AgenParl

Coronavirus, dall’Unitn arrivano le prime immagini al mondo che rivelano lo stato di salute dei polmoni dei pazienti positivi al Covid-19 - Il Dolomiti

Un aiuto per le diagnosi del virus dall'Università di Trento la scoperta di una macchina a ultrasuoni - L’Adige

Diagnosi del Coronavirus con gli ultrasuoni: lo studio dell'Università di Trento. Da Trento uno studio, già pubblicato su una rivista internazionale, che potrebbe aiutare a diagnosticare velocemente i nuovi casi - TrentoToday

Covid-19, l’Ateneo di Trento capofila nella diagnosi a ultrasuoni. Riconosciuta la validità scientifica dal «Journal of Ultrasound in Medicine» - Le immagini da ultrasonografia polmonare in pazienti affetti da Coronavirus - L’Adigetto

Covid-19: ricercatori trentini dimostrano il ruolo degli ultrasuoni nella diagnosi. Dal Dipartimento di Ingegneria e Scienza dell’Informazione le prime immagini al mondo di ultrasonografia polmonare in pazienti affetti da Coronavirus - Trentino Startup

Coronavirus, Università Trento studia diagnosi a ultrasuoni. Ricerca pubblicata su Journal of Ultrasound in Medicine - La Voce del Nord Est

Covid-19, Università Trento capofila nella diagnosi a ultrasuoni - CorriereUniv

Covid-19, l’Università di Trento capofila nella diagnosi a ultrasuoni - LiveUniversity

Covid-19, A Prominent Role For UniTrento In Ultrasound Diagnosis - ScienMag – Science Magazine

Covid-19, a prominent role for unitrento in ultrasound diagnosis - Global Health NewsWire

Covid-19, Università Trento capofila nella diagnosi a ultrasuoni - Ask A News

UniTrento – Covid-19, l’Università di Trento capofila nella diagnosi a ultrasuoni - La voce del Trentino

Coronavirus, nuovo protocollo per diagnosi con ultrasuoni - New Pharma

Coronavirus: l’Università di Trento studia diagnosi a ultrasuoni - Unser Tirol

Coronavirus: Università Trento studia diagnosi a ultrasuoni - Libero 24x7

UniTrento – Covid-19, l’Università di Trento capofila nella diagnosi a ultrasuoni - GeosNews

Coronavirus, dall’Unitn arrivano le prime immagini al mondo che rivelano lo stato di salute dei polmoni dei pazienti positivi al Covid-19 - The World News

TV News

Coronavirus, un esame a ultrasuoni per intercettarlo prima. Con un piccolo scanner collegato a un tablet è possibile effettuare un’ecografia toracica in tempo reale, per capire lo stato di avanzamento della malattia - RaiNews

Diagnosi a ultrasuoni dall’Università di Trento - Tgr Rai Trento edizione del 22 marzo 2020, ore 19.30, da minuto 8 e 11 secondi

Coronavirus: Università Trento studia diagnosi a ultrasuoni. Ricerca pubblicata su Journal of Ultrasound in Medicine - Sky - Tg24

Contact

Please, send email to Dr. Libertario Demi

libertario.demi [at] unitn.it