Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.
Saved in:
| 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 |
Be the first to leave a comment!
