Debunking a mythology: Atelectasis is not a cause of postoperative fever.

Most physicians appreciate that practicing medicine is a commitment to continuous learning. However, "learning" can be mistakenly understood as simply the acquisition of facts and new knowledge. But learning also necessitates the constant re-examination and challenging of one's existing body of knowledge, as misinformation persists when one's beliefs are not challenged or questioned in the light of new information.

Opportunity and Opportunism in Artificial Intelligence-Powered Data Extraction: A Value-Centered Approach.

Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions to be made. This charge is rapidly evolving due to forces such as artificial intelligence (AI), big data (opportunistic imaging, imaging prognostication), and advanced diagnostic technologies. A new modernistic paradigm is emerging whereby radiologists, in conjunction with computer algorithms, will be tasked with extracting as much information from imaging data as possible, often without a specific clinical question being posed and independent of any stated clinical need.

Optimizing Triage: Assessing Shock Index, Pediatric Age-Adjusted as an Adjunct to Improve Emergency Severity Index Mistriage.

Objective: We investigated the diagnostic value of shock index, pediatric age-adjusted (SIPA) in predicting Emergency Severity Index level 3 patients' outcomes. Secondary objectives included exploring the impact of fever and participant variables on SIPA's predictive ability.

Methods: A retrospective chart review identified children aged 1 to 15 years triaged as a level 3 in the emergency department between January 2018 and December 2021.

Algorithms in medical decision-making and in everyday life: what's the difference?

Algorithms are a ubiquitous part of modern life. Despite being a component of medicine since early efforts to deploy computers in medicine, clinicians' resistance to using decision support and use algorithms to address cognitive biases has been limited. This resistance is not just limited to the use of algorithmic clinical decision support, but also evidence and stochastic reasoning and the implications of the forcing function of the electronic medical record.

Radiologist age and diagnostic errors.

Purpose: Previous investigations into the causes of error by radiologists have addressed work schedule, volume, shift length, and sub-specialization. Studies regarding possible associations between radiologist errors and radiologist age and timing of residency training are lacking in the literature, to our knowledge. The aim of our study was to determine if radiologist age and residency graduation date is associated with diagnostic errors.

Effects of Work Shift or Shift Length on Radiation Safety Perception.

Purpose: This study investigated several determinants of radiation safety culture among radiologic technologists to determine whether factors related to work shifts or workday length affect the perception of workplace radiation safety.

Methods: The secondary analysis used de-identified data from 425 radiologic technologists collected with the Radiation Actions and Dimensions of Radiation Safety (RADS) questionnaire, a 35-item survey with valid and reliable psychometric properties. Respondents included radiologic technologists working in radiography, computed tomography (CT), mammography, and hospital radiology administration.

Summary of the 2022 ACR Intersociety Meeting.

The ACR Intersociety Committee meeting of 2022 (ISC-2022) was convened around the theme of "Recovering From The Great Resignation, Moral Injury and Other Stressors: Rebuilding Radiology for a Robust Future." Representatives from 29 radiology organizations, including all radiology subspecialties, radiation oncology, and medical physics, as well as academic and private practice radiologists, met for 3 days in early August in Park City, Utah, to search for solutions to the most pressing problems facing the specialty of radiology in 2022. Of these, the mismatch between the clinical workload and the available radiologist workforce was foremost-as many other identifiable problems flowed downstream from this, including high job turnover, lack of time for teaching and research, radiologist burnout, and moral injury.

In Situ Pulmonary Arterial Thrombosis: Literature Review and Clinical Significance of a Distinct Entity.

Filling defects identified in the pulmonary arterial tree are commonly presumed to represent an embolic phenomenon originating from thrombi formed in remote veins, particularly lower-extremity deep venous thrombosis (DVT). However, accumulating evidence supports an underappreciated cause for pulmonary arterial thrombosis (PAT), namely, de novo thrombogenesis-whereby thrombosis arises within the pulmonary arteries in the absence of DVT. Although historically underrecognized, in situ PAT has become of heightened importance with the emergence of SARS-CoV-2 infection.

Value of CTA/MRA in the setting of intraparenchymal hemorrhage in the emergency department.

Purpose: To assess the diagnostic yield of computed tomography angiography (CTA)/magnetic resonance angiography (MRA) brain and neck ordered in the emergency department (ED) for patients who have intraparenchymal hemorrhage (IPH) on their initial noncontrast CT (NCCT) of the head.

Methods: In this retrospective study, we reviewed 156 patients presenting to the ED with nontraumatic IPH, documented on NCCT. We assessed if the subsequent CTA/MRA was positive, and collected data regarding the location of the bleed, patients' age group, and presence/absence of associated SAH/IVH.

Mandating Limits on Workload, Duty, and Speed in Radiology.

Research has not yet quantified the effects of workload or duty hours on the accuracy of radiologists. With the exception of a brief reduction in imaging studies during the 2020 peak of the COVID-19 pandemic, the workload of radiologists in the United States has seen relentless growth in recent years. One concern is that this increased demand could lead to reduced accuracy.

Distribution and frequency of tyrosine kinase inhibitor-associated long-term complications in children with chronic myeloid leukemia.

Background: Tyrosine kinase inhibitors (TKIs) improve outcomes for pediatric malignancies characterized by specific gene rearrangements and mutations; however, little is known about the long-term impact of TKI exposure. Our objective was to assess the incidence and type of late-onset TKI-related toxicities in children with chronic myeloid leukemia (CML).

Methods: We reviewed medical records from patients diagnosed with CML between 2006 and 2019 at <21 years of age and prescribed one or more TKIs.

The Blended Academic & Community Breast Imaging Practice.

In this paper, we provide a brief overview of the history, organizational structure, and current operational state of our blended academic and community-model breast service. We review the challenges inherent to governance and management of a "matrix" organization practice model such as ours, and discuss the ways in which the leadership of our evolving blended practice are addressing those challenges collaboratively.

Factors Driving Resistance to Clinical Decision Support: Finding Inspiration in Radiology 3.0.

Purpose: The effectiveness of evidence-based guidelines (EBGs) and clinical decision support (CDS) is significantly hampered by widespread clinician resistance to it. Our study was designed to better understand the reasons for this resistance to CDS and explore the factors that drive it.

Methods: We used a mixed-methods approach to explore and identify the drivers of resistance for CDS among clinicians, including a web-based multispecialty survey exploring clinicians' impressions of the strengths and weaknesses of CDS, two clinician focus groups, and several one-on-one focused clinician interviews in which individual participants were asked to comment on their rationale for choosing imaging utilization that might not be supported by EBGs.

When Artificial Intelligence Models Surpass Physician Performance: Medical Malpractice Liability in an Era of Advanced Artificial Intelligence.

It seems inevitable that diagnostic and recommender artificial intelligence models will ultimately reach a point when they outperform human clinicians. Just as antibiotics displaced a host of medicinals for treating infections, the superior performance of such models will force their adoption. This article contemplates certain ethical and legal implications bearing on that adoption, especially because they involve a clinician's exposure to allegations of malpractice.

Rationing and Disparities in Health Care: Implications for Radiology Clinical Practice Guidelines.

We examine the relationship between the rationing of health care resources and disparities in health care delivery and the specific implications for radiologic resource allocation frameworks such as the ACR Appropriateness Criteria. We explore what rationing is in this context and how it is manifested in radiology. We review how rationing has taken many forms and how rationing has influenced the development of disparities in access and outcomes within health care and specifically within the context of radiology.