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Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

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Title: Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.
Authors: Orosz G; Department of Military, Disaster and Law Enforcement Medicine, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary. orosz.gabor@semmelweis.hu.; Department of Anesthesiology and Intensive Therapy, Semmelweis University, P.O.B. 2, Budapest, H-1428, Hungary. orosz.gabor@semmelweis.hu.; University Research and Innovation Center, John von Neumann Faculty of Informatics, Óbuda University, Bécsi Út 96/B, Budapest, Hungary. orosz.gabor@semmelweis.hu., Szabó RZ; University Research and Innovation Center, John von Neumann Faculty of Informatics, Óbuda University, Bécsi Út 96/B, Budapest, Hungary., Szabó M; Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary.; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Limerick, St Nessan's Road, Dooradoyle, Limerick, V94 F858, Ireland., Gyombolai P; Department of Intensive Therapy, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary., Tóth JT; Department of Intensive Therapy, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary.; PSI Pain Clinic, MEDCITY Health Center, Budapest, Hungary., Ruttkay T; Department of Anatomy, Histology and Embryology, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary., Ferenci T; Physiological Controls Research Center, Óbuda University, Bécsi Út 96/B, Budapest, Hungary.; Department of Statistics, Corvinus University of Budapest, Fővám Tér 8, Budapest, Hungary., Ungi T; Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, 2K7L 2N8, Canada., Fichtinger G; Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, 2K7L 2N8, Canada., Haidegger T; University Research and Innovation Center, John von Neumann Faculty of Informatics, Óbuda University, Bécsi Út 96/B, Budapest, Hungary.; Austrian Center for Medical Innovation and Technology, Viktor-Kalpan-Str. 2., Wiener Neustadt, 2700, Austria.
Source: Scandinavian journal of trauma, resuscitation and emergency medicine [Scand J Trauma Resusc Emerg Med] 2026 Apr 17; Vol. 34 (1). Date of Electronic Publication: 2026 Apr 17.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101477511 Publication Model: Electronic Cited Medium: Internet ISSN: 1757-7241 (Electronic) Linking ISSN: 17577241 NLM ISO Abbreviation: Scand J Trauma Resusc Emerg Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.
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  Data: <searchLink fieldCode="AU" term="%22Orosz+G%22">Orosz G</searchLink>; Department of Military, Disaster and Law Enforcement Medicine, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary. orosz.gabor@semmelweis.hu.; Department of Anesthesiology and Intensive Therapy, Semmelweis University, P.O.B. 2, Budapest, H-1428, Hungary. orosz.gabor@semmelweis.hu.; University Research and Innovation Center, John von Neumann Faculty of Informatics, Óbuda University, Bécsi Út 96/B, Budapest, Hungary. orosz.gabor@semmelweis.hu.<br /><searchLink fieldCode="AU" term="%22Szabó+RZ%22">Szabó RZ</searchLink>; University Research and Innovation Center, John von Neumann Faculty of Informatics, Óbuda University, Bécsi Út 96/B, Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Szabó+M%22">Szabó M</searchLink>; Department of Surgery, Transplantation and Gastroenterology, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary.; Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Limerick, St Nessan's Road, Dooradoyle, Limerick, V94 F858, Ireland.<br /><searchLink fieldCode="AU" term="%22Gyombolai+P%22">Gyombolai P</searchLink>; Department of Intensive Therapy, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary.<br /><searchLink fieldCode="AU" term="%22Tóth+JT%22">Tóth JT</searchLink>; Department of Intensive Therapy, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary.; PSI Pain Clinic, MEDCITY Health Center, Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Ruttkay+T%22">Ruttkay T</searchLink>; Department of Anatomy, Histology and Embryology, Semmelweis University, P.O.B. 2, Budapest, 1428, Hungary.<br /><searchLink fieldCode="AU" term="%22Ferenci+T%22">Ferenci T</searchLink>; Physiological Controls Research Center, Óbuda University, Bécsi Út 96/B, Budapest, Hungary.; Department of Statistics, Corvinus University of Budapest, Fővám Tér 8, Budapest, Hungary.<br /><searchLink fieldCode="AU" term="%22Ungi+T%22">Ungi T</searchLink>; Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, 2K7L 2N8, Canada.<br /><searchLink fieldCode="AU" term="%22Fichtinger+G%22">Fichtinger G</searchLink>; Laboratory for Percutaneous Surgery, School of Computing, Queen's University, Kingston, ON, 2K7L 2N8, Canada.<br /><searchLink fieldCode="AU" term="%22Haidegger+T%22">Haidegger T</searchLink>; University Research and Innovation Center, John von Neumann Faculty of Informatics, Óbuda University, Bécsi Út 96/B, Budapest, Hungary.; Austrian Center for Medical Innovation and Technology, Viktor-Kalpan-Str. 2., Wiener Neustadt, 2700, Austria.
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  Data: <searchLink fieldCode="JN" term="%22101477511%22">Scandinavian journal of trauma, resuscitation and emergency medicine</searchLink> [Scand J Trauma Resusc Emerg Med] 2026 Apr 17; Vol. 34 (1). <i>Date of Electronic Publication: </i>2026 Apr 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101477511 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1757-7241 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217577241%22">17577241 </searchLink><i>NLM ISO Abbreviation: </i>Scand J Trauma Resusc Emerg Med <i>Subsets: </i>MEDLINE
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              Text: 2026 Apr 17
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