Building Diversity, Equity, and Inclusion Within Radiology Artificial Intelligence: Representation Matters, From Data to the Workforce.

Diversity, equity, and inclusion (DEI) is both a critical ingredient and moral imperative in shaping the future of radiology artificial intelligence (AI) for improved patient care, from design to deployment. At the design level: Potential biases and discrimination within data sets results in inaccurate radiology AI models, and there is an urgent need to purposefully embed DEI principles throughout the AI development and implementation process. At the deployment level: Diverse representation in radiology AI leadership, research, and career development is necessary to avoid worsening structural and historical health inequities.

Integrative diagnostics: the time is now-a report from the International Society for Strategic Studies in Radiology.

Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of results may overwhelm the diagnostic acumen of even the most dedicated and experienced clinician. Because they are gathered and processed within the "silo" of each diagnostic discipline, diagnostic data are fragmented, and the electronic health record does little to synthesize new and existing data into usable information.

Integrative Diagnostics: The Time Is Now-A Report From the International Society for Strategic Studies in Radiology.

Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of results may overwhelm the diagnostic acumen of even the most dedicated and experienced clinician. Because they are gathered and processed within the "silo" of each diagnostic discipline, diagnostic data are fragmented, and the electronic health record does little to synthesize new and existing data into usable information.

Initial Impact of COVID-19 on Radiology Practices: An ACR/RBMA Survey.

Purpose: The coronavirus disease 2019 (COVID-19) pandemic affected radiology practices in many ways. The aim of this survey was to estimate declines in imaging volumes and financial impact across different practice settings during April 2020.

Methods: The survey, comprising 48 questions, was conducted among members of the ACR and the Radiology Business Management Association during May 2020.

Assessment of the Radiology Support, Communication and Alignment Network to Reduce Medical Imaging Overutilization: A Multipractice Cohort Study.

Purpose: The aim of this study was to determine whether participation in Radiology Support, Communication and Alignment Network (R-SCAN) results in a reduction of inappropriate imaging in a wide range of real-world clinical environments.

Methods: This quality improvement study used imaging data from 27 US academic and private practices that completed R-SCAN projects between January 25, 2015, and August 8, 2018. Each project consisted of baseline, educational (intervention), and posteducational phases.

The economics of quality and safety in radiology: Accreditation programs and landmark legislation.

Quality and patient safety are essential to the practice of radiology. "Quality is our image" is the slogan for the American College of Radiology (ACR), which has embraced the quality and safety movement as a central tenet. The impact of advances in radiology on diagnosis and management of complex medical disorders cannot be understated.

Digital Breast Tomosynthesis Implementation: Considerations for Emerging Breast Cancer Screening Bundled Payment Models.

Purpose: Bundled payments have been touted as mechanisms to optimize quality and costs. A recent feasibility study evaluating bundled payments for screening mammography episodes predated widespread adoption of digital breast tomosynthesis (DBT). We explore a similar model reflecting emerging acceptance of DBT in breast cancer screening.