{
  "abstract": "Introduction Forward military field hospitals often operate in battle zone environments where access to specialized personnel, such as radiologists, is limited, complicating the accuracy of diagnostic imaging. Chest radiographs are crucial for assessing thoracic injuries and other conditions, but their interpretation frequently falls to non-radiologist personnel. This study evaluates the effectiveness of an artificial intelligence (AI)-assisted model in enhancing the diagnostic accuracy of chest radiographs in such resource-limited settings.Methods Nine board-certified military physicians from various non-radiology specialties interpreted 159 anonymized chest radiographs, both with and without the support of AI. The AI model, INSIGHT CXR, generated automated descriptions for 80 radiographs, whereas 79 were interpreted without AI support. A linear mixed-effects model was used to assess the difference in diagnostic accuracy between the two conditions. Secondary analyses examined the effects of radiograph type and physician specialty on diagnostic performance.Results AI support increased mean diagnostic accuracy by 9.4% (p<0.001) from pretest to post-test, representing a 23.15% relative improvement. This improvement was consistent across both normal and abnormal findings, with no significant differences observed based on radiograph type or physician specialty. These findings suggest that AI tools can serve as effective support in field hospitals, improving diagnostic precision and decision-making in the absence of radiologists.Conclusions This study highlights the potential for AI-assisted radiograph interpretation to enhance diagnostic accuracy in military field hospitals. If AI tools are proven reliable, they could be integrated into the workflow of forward field hospitals, improving the quality of care for injured personnel. Immediate benefits may include faster diagnoses, increased personnel readiness, optimized performance, and cost savings, leading to better outcomes in combat operations.Level of evidence II. Diagnostic Test.",
  "authors": [
    {
      "affiliations": [
        "Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, Praha, Czech Republic"
      ],
      "name": "Martin Májovský"
    },
    {
      "affiliations": [
        "Department of Radiodiagnostic, Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Vojtěch Sedlák"
    },
    {
      "affiliations": [
        "Institute of Biophysics and Informatics, First Faculty of Medicine, Charles University, Praha, Czech Republic",
        "Department of Methodology, Faculty of Physical Education and Sport, Charles University, Praha, Czech Republic"
      ],
      "name": "Martin Komarc"
    },
    {
      "affiliations": [
        "Department of Anesthesiology, First Faculty of Medicine, Charles University and Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Tomáš Henlín"
    },
    {
      "affiliations": [
        "Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, Praha, Czech Republic"
      ],
      "name": "Martin Černý"
    },
    {
      "affiliations": [
        "Independent Researcher, Prague, Czech Republic"
      ],
      "name": "Peter Májovský"
    },
    {
      "affiliations": [
        "Department of Radiodiagnostic, Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Tomáš Tůma"
    },
    {
      "affiliations": [
        "Department of Medical Law, Faculty of Law, Charles University, Praha, Czech Republic"
      ],
      "name": "Petr Šustek"
    },
    {
      "affiliations": [
        "Department of Medical Law, Faculty of Law, Charles University, Praha, Czech Republic"
      ],
      "name": "Lucie Široká"
    },
    {
      "affiliations": [
        "Department of Medical Law, Faculty of Law, Charles University, Praha, Czech Republic"
      ],
      "name": "Martin Šolc"
    },
    {
      "affiliations": [
        "Faculty of Biomedical Engineering, Czech Technical University in Prague, Praha, Czech Republic"
      ],
      "name": "Lukáš Miklas"
    },
    {
      "affiliations": [
        "Department of Law and Cybersecurity, Ambis University, Praha, Czech Republic"
      ],
      "name": "Jan Kolouch"
    },
    {
      "affiliations": [
        "Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, Praha, Czech Republic"
      ],
      "name": "Norbert Svoboda"
    },
    {
      "affiliations": [
        "Department of Anesthesiology, First Faculty of Medicine, Charles University and Military University Hospital, Prague, Czech Republic",
        "Department of Biomedical Technology, Czech Technical University in Prague, Praha, Czech Republic"
      ],
      "name": "Jan Páleník"
    },
    {
      "affiliations": [
        "Department of Anesthesiology, First Faculty of Medicine, Charles University and Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Jan Brixi"
    },
    {
      "affiliations": [
        "Department of Anesthesiology, First Faculty of Medicine, Charles University and Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Tomáš Gottvald"
    },
    {
      "affiliations": [
        "Department of Anesthesiology, First Faculty of Medicine, Charles University and Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Ladislav Šindelář"
    },
    {
      "affiliations": [
        "Department of Orthopedics, First Faculty of Medicine of Charles University and Military University Hospital, Prague, Czech Republic",
        "Trauma Center, Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Štěpán Kašper"
    },
    {
      "affiliations": [
        "Department of Orthopedics, First Faculty of Medicine of Charles University and Military University Hospital, Prague, Czech Republic",
        "Trauma Center, Military University Hospital, Prague, Czech Republic"
      ],
      "name": "Jaroslav Chomič"
    },
    {
      "affiliations": [
        "Department of Surgery, Military Hospital Brno, Brno, Czech Republic"
      ],
      "name": "Ondřej Kuliha"
    },
    {
      "affiliations": [
        "Department of Thoracic Surgery, Third Faculty of Medicine, Charles University, Thomayer University Hospital, Praha, Czech Republic"
      ],
      "name": "Petr Svoboda"
    },
    {
      "affiliations": [
        "Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, Praha, Czech Republic"
      ],
      "name": "David Netuka"
    },
    {
      "affiliations": [
        "Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, Praha, Czech Republic"
      ],
      "name": "Václav Masopust"
    }
  ],
  "title": "Artificial intelligence-assisted chest radiograph interpretation in Role 2 military field hospital settings: a controlled experimental study",
  "uid": "ced85493-6ea9-5f73-8277-a9a468725b9f"
}