Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.

Background: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retraining.

Purpose: To develop an expert consensus document on best research practices and methodological priorities for emergency/trauma radiology AI.

Methods: A Delphi consensus exercise was conducted by the ASER AI/ML expert panel between 2022-2024.

An ASER AI/ML expert panel formative user research study for an interpretable interactive splenic AAST grading graphical user interface prototype.

Purpose: The AAST Organ Injury Scale is widely adopted for splenic injury severity but suffers from only moderate inter-rater agreement. This work assesses SpleenPro, a prototype interactive explainable artificial intelligence/machine learning (AI/ML) diagnostic aid to support AAST grading, for effects on radiologist dwell time, agreement, clinical utility, and user acceptance.

Methods: Two trauma radiology ad hoc expert panelists independently performed timed AAST grading on 76 admission CT studies with blunt splenic injury, first without AI/ML assistance, and after a 2-month washout period and randomization, with AI/ML assistance.

Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel.

Background: AI/ML CAD tools can potentially improve outcomes in the high-stakes, high-volume model of trauma radiology. No prior scoping review has been undertaken to comprehensively assess tools in this subspecialty.

Purpose: To map the evolution and current state of trauma radiology CAD tools along key dimensions of technology readiness.

A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations.

Purpose: There is a growing body of diagnostic performance studies for emergency radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is known about user preferences, concerns, experiences, expectations, and the degree of penetration of AI tools in emergency radiology. Our aim is to conduct a survey of the current trends, perceptions, and expectations regarding AI among American Society of Emergency Radiology (ASER) members.

Methods: An anonymous and voluntary online survey questionnaire was e-mailed to all ASER members, followed by two reminder e-mails.

Transfer Patient Imaging: A Novel Peer Feedback Program Beyond Institutional Boundaries.

Background: At our level 1 trauma center, we overread cross-sectional scans on all transferred patients, initially reported by community radiologists (CR). We designed a unique peer feedback learning model to address discrepancies encountered with outside overreads with the goal of practice improvement on the part of the CRs. Although there is ample literature on internal peer review and peer learning programs, no publications address errors committed by peers outside institutional boundaries.

Variation in Fetal Weight Percentile Estimates.

Objectives: Weight percentiles are generally reported without any indication of error. This variation can lead a fetus being mistakenly classified erroneously as having intrauterine growth restriction (IUGR) or macrosomia. The goal of this study was to compare estimated weight percentiles with the actual observed weight percentile for each gestational age in a large cohort of fetuses being scanned in our institution.

Transfer patient imaging: discordances between community and subspecialist emergency radiologists.

Purpose: To determine the rate and nature of significant discordances between community and subspecialist emergency radiologists' interpretations of cross-sectional exams performed on patients transferred to our trauma center.

Methods: Outside hospital CT and MRI exams performed on transfer trauma patients are routinely overread by subspecialist emergency radiologists, specifying either concordance or discordance with the interpretation by the community radiologist. We evaluated the discordant reports for clinical significance, defined as an additional finding or difference in interpretation which was likely to affect patient management.

The role of imaging in the management of non-traumatic subarachnoid hemorrhage: a practical review.

The purpose of this review is to understand the role of imaging in the diagnosis and management of non-traumatic subarachnoid hemorrhage (SAH). SAH is a life-threatening emergency and a relatively common entity, the most common etiology being ruptured aneurysms. Multiple conundrums exist in literature at various steps of its imaging workup: diagnosis, management, and follow-up.

Is it safe to inject contrast through the side arm of an introducer sheath? An in vitro study.

Purpose: Occasionally, a patient requiring computed tomography (CT) with poor venous access or in an unstable condition may have a sheath as their only form of IV access. Many institutions prohibit contrast power injection through the side ports, for concern for rupture. We hypothesize that under conditions encountered in CT scanning, the side arm of the sheath introducer is safe for power injection of contrast material.

Morphometric Analysis of the External Auditory Canal by Computed Tomography in Indian Population.

Various studies have shown variations in size and shape of different anthropometric measurements of external auditory canal. We conducted an anthropometric study of the three-dimensional anatomy of the osseous external auditory canal (OEAC) using high-resolution computed tomography the temporal bone to identify the variations in subset of Indian population from North India. A retrospective review of high-resolution computed tomography images of the temporal bones of 125 patients (250 external auditory canals) of different ages (mean 28.

The role of imaging in gastrointestinal bleed.

Gastrointestinal (GI) bleed accounts for approximately 20% of emergency visits; 2% of hospital admissions and its incidence has been increasing. In patients where the GI bleed does not stop spontaneously, intervention is required to identify the source of bleeding and stop the hemorrhage. Although identifying the source of bleeding can be challenging due to the vast number of underlying etiologies, radiology plays a vital role in patients where endoscopy and/or medical management fail.

Magnetic resonance imaging spectrum of intracranial tubercular lesions: one disease, many faces.

Tuberculosis is a devastating disease and has shown resurgence in recent years with the advent of acquired immunodeficiency syndrome. Central nervous system involvement is the most devastating form of the disease, comprising 10% of all tuberculosis cases. The causative organism, , incites a granulomatous inflammatory response in the brain, the effects of which can be appreciated on magnetic resonance imaging (MRI), which can thus be used for diagnosis of the same.

Congestive Myelopathy due to Intradural Spinal AVM Supplied by Artery of Adamkiewicz: Case Report with Brief Literature Review and Analysis of the Foix-Alajouanine Syndrome Definition.

Background: Spinal arteriovenous malformations (AVMs) can lead to development of congestive myelopathy (Foix-Alajouanine syndrome). Spinal AVMs are rare and so is this syndrome. Diagnosis is often missed due to its rarity and confusing definitions of the Foix-Alajouanine syndrome.